LIBRARY Michigan State University This is to certify that the thesis entitled CHARACTERIZATION AND OPTIMIZATION OF A SILICON VIDICON SPECTROMETER THROUGH REAL-TIME MICROPROCESSOR CONTROL presented by James Edward Hornshuh has been accepted towards fulfillment of the requirements for . Ph .D. degree in Chemistry Major professor Date ’9 78/ 0-7 639 CHARACTERIZATION AND OPTIMIZATION OF A SILICON VIDICON SPECTROMETER THROUGH REAL-TIME MICROPROCESSOR CONTROL BY James Edward Hornshuh A DISSERTATION Submitted to Michigan State University in partial fulfillment of the requirements for the degree of DOCTOR OF PHILOSOPHY Department of Chemistry 1978 (57d 63/ // g 1 'o-A ABSTRACT CHARACTERIZATION AND OPTIMIZATION OF A SILICON VIDICON SPECTROMETER THROUGH REAL-TIME MICROPROCESSOR CONTROL By James Edward Hornshuh A multiprocessor—controlled silicon vidicon spectrometer is described. The spectrometer incorporates a silicon—target vidicon with a fused-silica window to extend the usable instrument response into the near ultraviolet region. The spectrometer can monitor a 230 nm window in the range of 250 nm to 1000 nm with 1.0 nm resolution. Under computer control the wavelength window can be divided into between 16 and 4096 wavelength channels. The tube readout beam can be deflected to any channel at random or made to scan them sequen- tially at frequencies between 10 kHz and 1 MHz. To increase the target's integration time and enhance weak signals, the readout beam can be inhibited for a user-specified time interval. The real—time signal-to-noise ratio (S/N) of the system is 3086. Signal averaging can be used to increase the S/N at the expense of time resolution. For a fixed data acquisition time, a combination of signal averaging and charge integration can be used to optimize the output response. The detector responds linearly to the incident light level over 4 orders of magnitude. The observed non-linearity of the vidicon is 1% at 90% of saturation. Real-time control of the vidicon spectrometer is provided by a general purpose multiprocessor system based upon the Intel 8080A James Edward Hornshuh microprocessor. The development of this system not only illustrates the increased system capabilities of a multiprocessor system over those of a single processor system, but also provides design guidelines for an efficient and modular multiprocessor system. Specific examples of task allocation, efficient use of system resources, and utilization of the inherent bandwidth of available microprocessor static memory are provided in the documentation of the computer system used to control the vidicon spectrometer. The vidicon spectrometer was applied to three basic types of dual- wavelength spectroscopy; dual-wavelength non-scanning spectroscopy, dual-wavelength scanning spectroscopy, and derivative spectroscopy. These dual-wavelength techniques are easily implemented with the vidicon spectrometer which, because of its multi-wavelength capability, requires only changes in the data processing software to achieve the various techniques. Realized advantages of the dual-wavelength mode of operation included continuous correction for scattering and sample settling and the elimination of the influence of an interfering component (Co+2) in the analysis of a highly overlapping two-component mixture (Co+2 and Ni+2 in 2N HClOu). To Jean, Mom, and Dad ii ACKNOWLEDGMENTS I wish to offer my sincere appreciation to Professor C.G. Enke for his guidance, encouragement, and friendship during the course of my research at Michigan State University. Thanks are given to Professor S.R. Crouch for serving as my second reader and for many helpful discussions and comments. I wish to thank the MSU Chemistry Department's Electronics Shop and Machine Shop for the excellent support they offered. In addition, I would like to thank Marty Rabb, MSU Chemistry Department Electronics Designer, for helpful discussions on a wide range of electronic problems. I am very appreciative of financial support provided by Michigan State University and the Office of Naval Research. I thank my fellow group members in Professor Enke's research group for their friendship, interaction, and assistance. I especially thank Tom Last, Erik Carlson, and Spyros Hourdakis. To my parents I am grateful for their interest in my studies and their unfailing encouragement and moral support. Mbst importantly, I thank my darling wife Jean for her love and support. She has encouraged me throughout my graduate education, worked full-time to support our family, typed the initial and final draft of this thesis, and helped me to proofread the final copy. iii TABLE OF CONTENTS LIST OF TABLES . . . LIST OF FIGURES. CHAPTER 1 - INTRODUCTION . CHAPTER 2 - OVERVIEW OF THE SILICON VIDICON TUBE IN ANALYTICAL SPECTROSCOPY . A. Introduction. B. Operation of the Silicon Vidicon Tube . C. Recent Developments in Vidicon Tube Technology. 1. Silicon—Target Vidicon . 2. Focus-Projection-Scanning Vidicon. 3. Pyroelectric Vidicon . 4. X-Ray-Sensitive Vidicon. 5. Piezoelectric-Target Vidicon . D. Spectroscopic Applications of the Silicon Vidicon Tube. CHAPTER 3 - OPERATION OF THE SILICON VIDICON SPECTROMETER. A. Introduction. B. Real—Time Control and Data Acquisition. C. Post—Processing of Spectral Information . . . . . . CHAPTER 4 - CHARACTERIZATION AND OPTIMIZATION OF THE SILICON VIDICON SPECTROMETER . . . . . . . A. Introduction. . . . . . . . . . . . . . . . . . . B. Multichannel Spectral Response. . . . . . . iv Page viii ix 12 12 13 14 14 15 16 22 22 22 33 41 41 42 C. Wavelength Linearity and Response . . . . . . . . . . . 47 1. Linearity of the Wavelength Deflection Circuit Elements . . . . . . . . . . . . . . . . . 47 2. Limiting Resolution of the Monochromator . . . . . 43 3. Limiting Resolution of the Vidicon Detector. . . . 53 D. Analytical Signal . . . . . . . . . . . . . . . . . . . 56 1. Vidicon Detector Operating Voltages. . . . . . . . 58 2. Response Near Saturation . . . . . . . . . . . . . 60 3. Linearity and Range. . . . . . . . . . . . . . . . 62 4. Signal Enhancement with Charge Integration . . . . 64 E. Electronic Background and Random Noise. . . . . . . . . 65 CHAPTER 5 - DUAL-WAVELENGTH SPECTROSCOPY . . . . . . . . . . . . 76 A. Introduction to Dual-Wavelength Spectroscopy. . . . . . 76 B. Dual-Wavelength Applications with the Vidicon Spectrometer. . . . . . . . . . . . . . . . . . . . . . 79 1. Introduction . . . . . . . . . . . . . . . . . . . 79 2. The Dual-Wavelength Non-Scanning Mode. . . . . . . 80 3. The Dual—Wavelength Scanning Mode. . . . . . . . . 88 4. The Derivative Mode. . . . . . . . . . . . . . . . 90 C. Conclusions . . . . . . . . . . . . . . . . . . . . . . 99 CHAPTER 6 - COMPUTER SYSTEM ARCHITECTURE . . . . . . . . . . . . 100 A. Introduction. . . . . . . . . . . . . . . . . . . . . . 100 B. Development of a Multiprocessor System. . . . . . . . . 101 1. Dedicated Minicomputer System. . . . . . . . . . . 101 2. Distributed System with Real-Time Microprocessor Control . . . . . . . . . . . . . . 103 3. 4. 5. Multiple Microprocessor System for Real—Time contr01 o o o o o o o o o o o o Interprocessor Communication . Dedicated Multiprocessor Bus System. . . . C. Multiprocessor Control of the Vidicon Spectrometer. CHAPTER 7 - DOCUMENTATION OF SYSTEM DESIGN . A. Introduction. . . . . . . . . . . . . . . . . . . B. Scan Control Micro. 1. Introduction . 2. Slave Microprocessor Design. 3. Analog Scan Circuits . . . . . . . . . 4. Digital Control and Interface Circuits . . . . 5. Real-Time Clock and Interrupt System . . . . . 6. Dedicated Microprocessor for Number Processing . 7. Shutter Control Circuit. . . . . . . . . . . C Data Acquisition System . . . . . . . . . . 1. Introduction . . . . . . . . . . . . . . . . . 2. Analog Conditioning and Sampling Circuits. . . 3. Digital Control Circuits . . . . . . . . . . . 4. Hardware Adder for Signal Averaging. . . D. Optical Configuration . . . . . . . . . . . . . . . APPENDIX A - Program Listings. . . . . . . . . . . . . . . . A. 8080 CONVERS Routines . . . . . . . . . . . . . . . B. Minicomputer Programs and Subroutines . . . . . . . APPENDIX B - Supplementary Documentation of System Design. . vi Page 105 108 110 114 119 119 119 119 121 124 130 135 137 139 141 141 141 143 148 150 151 151 187 213 Page APPENDIX C - Front Panel Documentation . . . . . . . . . . . . . 222 REFERENCES . . . . . . . . . . . . . . . . . . . . . . . . . . . 230 vii LIST OF TABLES Table Page 3-1. CONVERS Software for Operation of the Vidicon Spectrometer. . . . . . . . . . . . . . . . . . . . . . . . 25 3-2. Operator Dialogue Mnemonics . . . . . . . . . . . . . . . . 29 4-1. Channel Response for a Line Source. . . . . . . . . . . . . 44 4—2. Wavelength Linearity. . . . . . . . . . . . . . . . . . . . 49 4-3. Vidicon Linearity and Range . . . . . . . . . . . . . . . . 64 4-4. Signal Enhancement with Charge Integration. . . . . . . . . 66 5-1. Dual-Wavelength Correction for Scattering . . . . . . . . . 82 5-2. Dual-Wavelength Correction for Scattering and Sample Settling . . . . . . . . . . . . . . . . . . . . . . 83 5-3. Determination of Nickel in the Presence of Cobalt . . . . . 86 7-1. Analog Power Supply Requirements. . . . . . . . . . . . . . 126 B-1. Peripheral Addresses for Vidicon Micro (octal). . . . . . . 213 B-2. Data Acquisition Addresses for Vidicon Micro (octal). . . . 214 B-3. Vidicon Control Addresses for Scan Micro (octal). . . . . . 216 B-4. Backplane Connections for Vidicon Slave Micro . . . . . . . 218 B-S. Backplane Connections for Fast Adder Board. . . . . . . . . 219 B-6. Backplane Connections for Memory Board. . . . . . . . . . . 220 B-7. 3M Connector Pin Assignments. . . . . . . . . . . . . . . . 221 C-1. Keyboard Output Code. . . . . . . . . . . . . . . . . . . . 224 viii Figure 2-5. 3-1. 3-2. LIST OF FIGURES Schematic of a Silicon-Target Vidicon. . . . . . . . Silicon Vidicon Target Construction and Signal Production . . . . . . . . . . . . . . . . . . . . . Signal Output and Dark Current vs Target Voltage at Constant Illumination. . . . . . . . . . . . . . . . . Silicon Vidicon Tube Geometry. . . . . . . . . . . . Beam Scan Pattern. . . . . . . . . . . . . . . . CRT Format for Operator Dialogue . . . . . . . . . . Program VEDO Terminal Interactions . . . . . . . . . . Absorption Spectrum of PrCl3 (0.20M) in IN HCl . . . Emission Spectrum of a Lead Hollow Cathode Lamp. . . . Emission Spectrum of Neon Filler Gas in a Hollow . Cathode Lamp . . . . . . . . . . . . . . . . . . . . . Responsivity of RCA C23246 Vidicon vs Wavelength . . . Quantum Efficiency of RCA C23246 Vidicon vs Wavelength Channel ReSponse of Vidicon Target to Hg 436 nm Line . Channel Response of Vidicon Target to a Continuous Source 0 O O C I O O O O O O O O C O C C O O O 0 Emission Spectrum of a Lead Hollow Cathode Lamp. . Emission Spectrum of a Mercury Lamp. . . . . . . . . . Vidicon Response vs Number of Wavelength Channels. . . Components of the Vidicon Spectrum . . . . . . . . . . Vidicon Response vs Grid #1 Voltage. . . . . . . . . . Vidicon Response Near Saturation . . . . . . . . . . . ix Page 11 11 28 34 38 39 40 43 43 45 46 51 52 55 57 59 61 Figure Page 4-11. Vidicon Transfer Function. . . . . . . . . . . . . . . . . 63 4-12. Vidicon Response vs Exposure Time. . . . . . . . . . . . . 67 4-13. Vidicon Dark Signal. . . . . . . . . . . . . . . . . . . . 69 4-14. S/N Enhancement with Background Subtraction. . . . . . . . 70 4-15. S/N Enhancement with Signal Averaging. . . . . . . . . . . 72 4-16. S/N Enhancement with Signal Averaging and Charge Integration. . . . . . . . . . . . . . . . . . . . . . . . 74 5-1. Absorption Spectrum of a Holmium Oxide Filter. . . . . . . 81 5-2. Absorption Spectra of Nickel (0.10M) and Cobalt (0.17M) in 2N HClOH. . . . . . . . . . . . . . . . . . . . . . . . 85 5-3. Calibration Curve for Nickel Determination . . . . . . . . 87 5-4. Effect of Sample Settling with Single-Wavelength Scanning . . . . . . . . . . . . . . . . . . . . . . . . . 89 5-5. Dual-Wavelength Correction for Sample Settling . . . . . . 89 5-6. Absorption Spectrum of PrC13 (0.20M) in 1M HCl . . . . . . 93 5-7. First Derivative of PrC13 Absorption Spectrum. . . . . . . 94 5-8. Second Derivative of PrCl3 Absorption Spectrum . . . . . . 94 5-9. Mercury Emission Spectrum. . . . . . . . . . . . . . . . . 95 5-10. First Derivative of Mercury Emission Spectrum. . . . . . . 96 5-11. Second Derivative of Mercury Emission Spectrum . . . . . . 96 5-12. Intensity of First Derivative Signal vs Absorbance of Neutral Density Filter. . . . . . . . . . . . . . . . . 98 5-13. Intensity of First Derivative Signal vs Time During Sample Settling . . . . . . . . . . . . . . . . . . 98 6-1. Dedicated Minicomputer for Instrument Control. . . . . . . 102 6-2. Dedicated Microcomputer for Instrument Control . . . . . . 104 6-3. Distributed Multiprocessor System for Instrument Control. . . . . . . . . . . . . . . . . . . . . . . . . . 106 Figure 6-4. 6—6. 6-7. 6-8. 6—9. 7-1. 7-2. 7-3. Multiported System . . . . . . . . . . . . . . . Single Time-Shared Bus System. . . . . Dedicated Bus System . Dedicated Bus with Bus Switch. . . . . . . . . . Block Diagram of Multiprocessor Bus System . Block Diagram of Vidicon Spectrometer System . Block Diagram of Vidicon Control Circuits. Vidicon Slave Micro. Vertical Deflection Drive Circuit. . . . . . . . Vertical Deflection Circuit Waveforms (25 kHz) Horizontal Deflection Drive Circuit. . . . . Horizontal Deflection Circuit Waveforms (25 kHz) Vertical Deflection Circuit. . . . . . . . . . . Horizontal Deflection Circuit. . . . . . . . . Real-Time Clock and Interrupt System . . Interface for 57109 Number-Oriented Processor. . Shutter Control Circuit. . . . . . . . . . . . . Analog Conditioning and Sampling Circuits. . Fast Adder Controller Circuit. . . . . . Fast Adder Timing Waveforms. . . . . . . . . . Fast Adder Circuit . . . . . . . . . . . . . Block Diagram of Front Panel Input/Output. . . Keyboard/Address Display Logic . . . . . . Keyboard Interface . . . . . . . . . . . . . . . Front Panel Control Logic. . . . . . . . . . . xi Page 109 109 112 112 113 115 120 122 127 127 129 129 131 133 136 138 140 142 145 147 149 223 225 226 229 CHAPTER 1 INTRODUCTION The dominant technique for the measurement of electromagnetic radiation in the UV-VIS-IR region is the dispersive system based on the diffraction grating. The typical dispersive system decodes inci- dent frequency information into an optical spatial array in the focal plane of the instrument, which is usually a monochromator or spectro- graph. In the past, the two main detection systems used to measure the spectral intensities in the image have been the photographic emulsion (plate) and the photomultiplier tube in conjunction with an exit slit. Although the photographic plate is a multichannel detector capable of simultaneously recording thousands of lines during a single exposure, it has several severe disadvantages, namely; a nonlinear response, limited dynamic range, and tedious readout. Thus, even though the photomultiplier tube—exit slit combination is limited to measurement of one spectral resolution element at a time, it is the detection system of choice for the majority of spectrochemical measure- ments because of its wide dynamic linear range, sensitivity, and direct conversion of light intensity to an electrical signal. Fortunately, thhssingle-channel limitation is now being overcome by the utilization of electronic image sensors as spectroscopic detectors. These image sensors combine the desirable characteristics of photomultiplier tubes with a simultaneous multichannel capability. One type of electronic image sensor is the silicon—target vidicon. The most attractive features of this image detector for spectroscopic applications are its broad spectral coverage (250-1100 nm), high quantum efficiency, linear response over a fairly wide dynamic range, low geometrical distortion, and reliability. The design, characterization, and optimization of a multiprocessor— controlled silicon vidicon spectrometer are presented in this disserta- tion. The versatility of the computer-controlled instrument lies in the ability to change easily the scanning format by software changes rather than by hardware modifications. In addition to instrument control, the computer is used to implement several data processing options for signal-to-noise (S/N) enhancement. Chapter 2 presents a thorough discussion of the operation of the silicon vidicon tube, as well as surveys of recent developments in vidicon tube technology and recent spectroscopic applications of the silicon vidicon tube. Chapters 3 and 7 discuss the operation and construction details, respectively, of the silicon vidicon spectrometer. The instrument can monitor a 230 nm window within a broad spectral range of 250 nm to 1000 nm. Spectral information within this 230 nm window is acquired simultaneously by the integrating diode array and read out sequentially by a scanning electron beam under computer control. Under software control, the user can specify the wavelength resolution (number of channels/scan), the scan frequency, vertical integration interval, detector integration time per scan, number of scans to be averaged for S/N enhancement, and the magnitude of the beam current. A.major objective of this research was the characterization and optimization of the performance of the silicon-target vidicon as a spectroscopic detector. The experiments designed to obtain this infor— mation and the corresponding experimental results are discussed in Chapter 4. Characteristics examined included the multichannel spectral response, the wavelength linearity and response, and the signal depen- dence upon incident light level and integration time. Factors limiting the S/N and methods for S/N enhancement were also investigated. Chapter 5 describes the application of the vidicon spectrometer to three basic types of dual-wavelength spectroscopy; dual-wavelength non-scanning spectroscopy, dual-wavelength scanning spectroscopy, and derivative spectroscopy. Because of the vidicon's multi-wavelength capability, the implementation of these dual-wavelength techniques with the vidicon spectrometer requires only changes in the data-processing software. Realized advantages of the dual-wavelength mode included continuous correction for scattering and sample settling and elimi- nation of the influence ofznlinterfering component in the analysis of a highly overlapping two-component mixture. To provide real-time control of the instrument, a multiprocessor system was designed and built in our laboratory. Chapter 6 describes the development of the multiprocessor system and its advantages in real- time instrument control. Multiprocessor control of the vidicon spec- trometer is also discussed in this chapter. CHAPTER 2 OVERVIEW OF THE SILICON VIDICON TUBE IN ANALYTICAL SPECTROSCOPY A. Introduction The purpose of this chapter is to provide a clear perspective on the operation and application of the silicon vidicon tube as a spectro— scopic detector. The first section explains in detail the theory of operation and signal generation of the silicon vidicon tube. Familiar— ity with this material is necessary to understand fully the following chapters on the design, characterization, and operation of the vidicon spectrometer developed in this research. The second section reviews recent developments in vidicon tube technology, including several unique imaging devices based upon a conventional vidicon tube. The last section surveys recent spectroscopic applications of the silicon vidicon tube to illustrate its usefulness as a multichannel detector in analytical spectrosc0py. B. Operation of the Silicon Vidicon Tube The RCA C23246 silicon-target vidicon used in this research is a very high sensitivity photoconductive camera tube with extremely broad spectral response, high resolution, low residual signal, and low dark current characteristics. In electron-optics design, in mechanical con- struction, and in physical appearance, it is virtually identical to the standard vidicon photoconductive camera tube. However, whereas a standard vidicon tube has an evaporated photoconducting film as the image sensing target, the silicon-target vidicon has a planar array of reverse-biased silicon photodiodes. The most obvious advantages of the silicon target over more conventional targets are its sensitivity, which results from an almost unity quantum yield throughout the entire visible and near infrared region, and its resistance to image burn-in or damage resulting from overexposure (1-9). Figure 2—1 illustrates the silicon-target vidicon tube. The Optical image is focused by a lens onto the substrate of the silicon photodiode array. This diode array has two distinct functions: 1) to convert the optical image into a corresponding electrical charge pattern, and 2) to accumulate and store the charge pattern until the electron beam and scanning mechanism read out the signal. The diode side of the array is scanned by an electron beam that has passed through the appropriate electron optics for focusing and deflection. When the scanning electron beam recharges the diodes, a current exists in the VT circuit (Figure 2-1). This recharging current constitutes the video signal. A silicon photodiode array typically consists of a matrix of 660 by 660 diodes; about 436,000 diodes within a 1.85 cm square. The substrate is nominally 10 Q-cm n-type silicon with a diameter of 2.16 cm. The substrate in the area of the diode array is 5-50 pm thick, while the perimeter of the wafer is usually 100 um thick to ensure a self-supporting structure (2,3,7). The diodes are islands of p-type dopant diffused through gaps in a silicon oxide insulating film (Figure 2-2). The diode array has a typical center-to-center diode spacing of 15 um and an oxide hole diameter of 8 um. COwaw> umwumHICOUflme m mo owumEmzom .~IN muswwm mo s H. uqzoa .30on Box: > lh. 39> fl \ msz .\\\\\ A «My supm>m \\ L \Y / 2 I I II I I I START HORIZONTAL (WAVELENGTH) AXIS Figure 2-5. Beam Scan Pattern 12 I = k(Te/Tr), where k equals the constant QeGAN. Thus, the average output current of any given channel is directly proportional to the ratio of exposure time to readout time for a constant incident photon flux. This forms the basis for the charge integration technique for signal enhancement (see Chapter 4). C. Recent Developments in Vidicon Tube Technology In the past several years a number of excellent review articles have appeared in the scientific literature concerning the development of camera and storage tubes and self-scanned solid—state image sensors for pick up and reproduction of optical images (2,7,12-18). Because of the depth and breadth of coverage of these review articles with respect to currently available imaging devices, a review of imaging devices and their applications in spectroscopy is not included in this chapter. Thus, the following review covers only the more recent developments in vidicon tube technology. 1. Silicon-Target Vidicon The concept of using a large—scale array of silicon photodiodes as a photosensitive target for a camera tube was first proposed at Bell Laboratories in 1967 (19). Since then, rapid advancements in silicon technology and large-scale integrated-circuit technology have led to arrays with more than 600,000 individual diodes on a silicon wafer (1). Continuing improvements in manufacturing efficiency and techniques have reduced the number and prominence of blemishes from faulty diodes and have resulted in lower-cost tubes. Also, the mechanical strength of the tubes has been increased by mounting the 13 target as a part of the faceplate assembly. The introduction of fused— silica and quartz windows has extended the response of the silicon vidicon into the UV to less than 250 nm. These ongoing improvements have helped to expand the usefulness of the silicon—target vidicon in existing applications and to extend its use into new areas. One of the most recent developments with this type of tube is a reduced-blooming target that greatly reduces the highlight—blooming characteristic of the silicon-target tubes (1). (Blooming is a lateral spreading of a highlight image that occurs when the signal saturates a localized area of the diode array.) These tubes will eventually rephxm the standard silicon-target tubes and should offer extended dynamic ranges of 105 or more (12). 2. Focus-Projection-Scanning Vidicon An important advance in the electron optics for high resolution cameras in recent years was the invention of the Focus—Projection— Scanning (FPS) vidicon (22—24). This vidicon combines the advantages of electrostatic deflection and magnetic focusing into one unique electron Optics assembly. Inherent advantages of the FPS design include: optimized beam landing and edge focus, lower power require- ments, higher beam current densities at the photoconductor, and smaller size and weight. Additionally, the FPS electron optics are compatible with any photoconductive target. Because FPS vidicons have 60 to 70 percent fewer internal parts than conventional magnetic vidicons and a correspondingly lower mass, they are extremely rugged devices. 14 3. Pyroelectric Vidicon The search for improved cameras for thermal imaging has resulted in the development of the pyroelectric vidicon (PEV) (20,21). The pyroelectric vidicon is a low-cost, infrared-sensitive camera tube that operates at room temperature. It can image in any wavelength band within the 2—400 um range and is compatible with all conventional television formats. Because the PEV responds only to changes in temper- ature, it is insensitive to any constant radiation incident upon it. However, a chopping and storage mode has recently been developed to enable the integrated signal from several frames to be displayed as a static image (20). The pyroelectric vidicon is quite similar in appearance to the normal photoconductive vidicon. It differs in that the front window is usually germanium, which is opaque to visible radiation, but highly transparent in the 8-14 um range. The most common target material for the PEV is TriGlycine Sulfate (TGS). The PEV uses a vidicon gun with a conventional thermionic cathode to provide a low velocity electron beam to sample the pyroelectric target. For the 8-14 um region, the PEV has a typical minimum resolvable temperature of less than 1°C at 250 television lines (TVL). Successful areas of application of the PEV include infrared laser detection, forest fire mapping, security/surveillance, and medical diagnostics. 4. X-Ray-Sensitive Vidicon Recently a new type of imaging tube for x-rays and y-rays in the 80-keV and higher energy range was developed at Northwestern University 15 (25). The uniqueness of this x-ray—sensitive vidicon to the measure— ment of radiation lies in the vidicon's inherent ability to image low levels of radiation by charge integration in the target plate. The target plate for this tube consists of a layer of lead deposited on an aluminum substrate. The lead converts a portion of the incident radi- ation into photoelectrons. These photoelectrons travel through a low- density layer of cesium iodide deposited on the lead layer and create secondary electrons. An electric field across the cesium iodide layer causes the secondary electrons to be collected by the conductive back- ing of the target plate, which creates a charge pattern on the surface. A video output signal is created by scanning an electron beam, which neutralizes the charged array. There is no lateral spreading of the charge on the cesium iodide surface because of the high resistivity (1017 0/cm) of the cesium iodide layer. In order to maximize the signal current for a given radiation energy, it is necessary to optimize the thickness of the lead layer and the thickness and density of the cesium iodide layer. Anticipated areas of application of this device include uptake scanning (visualization of the distribution of radioactive material in an organ or gland) and high—kV radiographic imaging. 5. Piezoelectric—Target Vidicon Another interesting variant of the vidicon is the piezoelectric- target (quartz) vidicon that is used for visualizing ultrasonic images (26,27). The target of this vidicon consists of a mosaic of quartz crystals, which provide an electronic image of the incident acoustic 16 field distribution. Piezoelectric voltages are generated in the quartz target at all regions corresponding to the received acoustic image. As in the conventional vidicon, a charge pattern corresponding to the acoustic image is formed on the signal plate side of the target and subsequently neutralized by a scanning electron beam. A promising application for this imaging device is in the ultrasonic imaging of human anatomy. D. Spectroscopic Applications of the Silicon Vidicon Tube Imaging devices are finding steadily increasing application as multichannel detectors in analytical spectroscopy. During the past several years multichannel detectors, which employ either silicon vidicon or photodiode array detectors, have been used for atomic absorption (28-34), emission (10,11,18,33,35-56), and fluorescence (49,50,57,58) Spectroscopy, molecular UV-visible absorption (10,18,32, 55,59-82,91) and fluorescence spectroscopy (83-90), and Raman spec- troscopy (92,93). This rapid expansion in the application of multi- channel detectors has been aided by the availability of complete detector systems from several commercial companies, such as Princeton Applied Research, Nuclear Data, EMR, RKB, Quantex, Tracor-Northern, and Tektronix. Additionally, the detector heads and electronic components are also available on a modular basis from the following companies; Reticon, GE, Hamamatsu, EMI, Amperex, ITT, RCA, Fairchild, Teltron, TI, and Westinghouse. Nieman (18) has written an excellent review on the historical development and application of imaging devices in analytical spectroscopy. Consequently, this review covers only 17 recent spectroscopic applications of the silicon vidicon tube. Nieman and Enke (61) and Pardue et. al. (10,59) have recently developed and characterized computer-controlled vidicon spectrometers for molecular absorption and atomic emission spectrometry. The vidicon detector was found to be uniquely suited to multicomponent analysis and preliminary investigations of the kinetics of chemical reactions, including the detection of reaction intermediates with lifetimes as short as 10 ms (59). Recent applications by these authors include simultaneous multicomponent drug determinations (66,67), kinetic methods for simultaneous enzyme determinations (66,74), and reaction- rate methods of analysis (63,78-80). More recently, Pardue and coworkers (60,81) have developed a vidicon based derivative spectrometer that simultaneously generates the normal spectrum and its first derivative. Electronic wavelength modulation is employed to generate the derivative spectrum. It is achieved by superimposing a low amplitude periodic waveform on the horizontal (wavelength) deflection signal. A phase-sensitive lock-in amplifier, referenced to the frequency and phase of the wavelength modulation waveform, generates a signal proportional to the first derivative of the optical spectrum incident on the vidicon detector. This instrument is currently being applied to the determination of bilirubin in biological fluids (60). Ostertag (70) converted a commercial optical multichannel analyzer (PAR) into a pulse-operated system that fully synchronizes on an external event occurring even at low repetition rates. The optical spectra measured with this instrument are those of the luminescence of crystalline samples that have been excited by a 18 picosecond laser. Because of the low repetition rate of the measured events, a simultaneous background subtraction feature was added to provide automatic correction for long range drifts of dark current in the vidicon detector. Silicon vidicon tubes have been used in an integrating mode for ground-based telescopic observation of celestial objects (77,94,95). Silicon vidicons are preferred over the intensified versions (SIT) because of the requirements for high photometric precision (<1%) and IR sensitivity to relatively bright objects. The vidicons are mounted in vacuum-insulated boxes and cooled with dry ice to minimize the dark current and to extend the maximum usable integration time. At dry ice temperature, the accumulation of dark current in 1 hr is only 4% of full-scale saturation. To further minimize the accumulation of a background signal during signal integration, the filament current is turned off during integration, because backlighting of the IR-responsive silicon target by the cathode heater contributes a nonspatially uniform signal on the order of 1% of full-scale saturation in 1 min of warm operation at 6.5 V. Consequently, the integration time is limited by the intensity of the celestial object under observation rather than by the electronic background. Images of extended sources through the telescope agreed photometrically with photomultiplier measurements to about 1%. The silicon vidicon tube is also a viable multi-wavelength detector for liquid chromatography (96). It offers the following advantages over single wavelength detectors: fingerprint spectral information to complement retention times, selection of wavelengths 19 which optimize sensitivity and resolution for each component, ability to resolve quantitatively overlapping chromatographic peaks, and the ability to detect impurities in chromatographic peaks. A preliminary application of this configuration (96) involved the analysis of pharmaceutical preparations (Sinutab II and Primatene tablets). Similarly, a silicon intensified-target vidicon (SIT) was used as a multichannel detector for the identification of fluorescent liquid chromatographic petroleum fractions (58) and as a gas—phase fluores- cence detector for gas chromatographic analysis of polyaromatic hydrocarbons (89). The SIT gave limits of detection about a factor of five times larger than those obtained with a photomultiplier tube. To be useful in the clinical laboratory, multicomponent fluores- cence analysis requires the rapid measurement of the fluorescence intensity at a variety of excitation and emission wavelengths. Because of the low light intensities often encountered in fluorescence spectro— scopy, a SIT detector was used as the multichannel detector in a new video fluorometer (84,97). A complete set of emission and excitation spectra for perylene were obtained in less than 2 s at concentrations of 10.10 M. Another recent application of the video fluorometer involved a study of the fluorescence of the living brain and heart (57). As a quantitative tool, the video fluorometer is potentially of enor— mous value in measuring the damage in strokes and shock, as well as in basic studies of circulation and metabolism in the heart and brain. Pardue and coworkers (55) and Morrison and coworkers (37,40) have used vidicon spectrometers for simultaneous flame—emission analysis of electrolytes in serum. Morrison's group combined first and second order diffraction lines to obtain analytical lines within the detector‘s 20 wavelength window, and used filters to partially absorb selected lines to equalize emission intensities. Results for control sera and clin- ical samples indicated an accuracy and precision of better than 2% (37). Simultaneous emission determinations of up to eight metals have been performed (10,11,36,43,45,58,49), but the S/N for the silicon—target vidicon is an order of magnitude lower than for single channel detec- tion (11). Caruso and coworkers (48) demonstrated that a microwave induced plasma coupled to a vidicon detector has potential for simul- taneous multielement trace analysis. Winefordner and coworkers (49) compared single channel and multichannel detection limits for eleven metals. The multichannel detection limit was an order of magnitude higher than the single channel detection limit. Busch, Howell, and Morrison (38) used spectral stripping to remove either molecular bands or undesired concomitant interferences from analytical lines of interest. Simultaneous determinations of up to four elements (28,29,31,34) have demonstrated that the silicon vidicon is also a viable multi- channel detector for atomic absorption spectrometry. The observed detection limits were an order of magnitude higher than for single channel detection. Multichannel detection allowed summation of the signal from several lines of the same elements for increased sensi- tivity (31). A random access vidicon echelle spectrometer provided both high resolution and wide spectral coverage for atomic absorption measurements (34). By using the random access mode of target inter- rogation to measure only the line intensities of interest, a reduction in computer time and memory space was realized, as well as greatly 21 simplified data reduction. For atomic absorption, the use of a non— integrating, electron-amplifier detector, such as an image dissector, would allow rapid signal modulation to eliminate interference from flame emission, and the electron amplification should improve S/N ratios to a level compatible with that of a photomultiplier tube (29). The sensitivity characteristics of the ultraviolet-sensitized silicon vidicon and silicon intensified-target (SIT) vidicon tubes were compared in the ultraviolet-visible wavelength region (52). Flame emission detection limits for 23 elements were reported and compared to the best reported photomultiplier tube values. The results demonstrated that the silicon vidicon tubes are capable detectors in the visible wavelength region, and that the SIT vidicon tube provides detection power equivalent to commonly used photomultipliers in the visible spectral region. The image tube detectors' poor responsi- tivity characteristics in the ultraviolet region limited their applic- ability to measurements in this spectral region. Winefordner and coworkers (87) demonstrated that while the silicon vidicon is not analytically useful for atomic fluorescence or molecular luminescence spectrometry, intensified image devices possess considerable analytical potential in molecular luminescence in the visible spectral region. CHAPTER 3 OPERATION OF THE SILICON VIDICON SPECTROMETER A. Introduction The purpose of this chapter is to describe the basic operation of the microprocessor-controlled vidicon spectrometer as a general purpose, single-beam scanning spectrophotometer. Since all instrument control and data acquisition functions are under computer control, this chapter focuses primarily on the operating software that was developed for the vidicon spectrometer. The software and terminal interactions for operation of the instrument are discussed in the following section. Although the acquired spectral information can be processed locally by the micro, the stored spectra are usually transmitted to the mini- computer for final processing. Accordingly, details of the minicomputer software developed for post-processing of the acquired spectra are discussed in Section C. All programs relevant to this chapter are listed in Appendix A. B. Real-Time Control and Data Acquisition Real-time control and data acquisition in the vidicon spectrometer are provided by a multiprocessor system that was developed jointly with Erik M. Carlson (98) and Spyros Hourdakis (99). The multiprocessor system not only provides real—time control of the vidicon detector's scan format and the data acquisition system, but also controls the monochromator wavelength drive, optical shutter, and the positions of 22 23 the sample and reference cells in the cell module. Details Of the computer system architecture are presented in Chapter 6. Documentation Of the design details of the electronic, mechanical, and optical com— ponents of the silicon vidicon spectrometer are presented in Chapter 7. The vidicon detector is mounted on the faceplate of a GCA/McPheranl EU-700 Czerny-Turner monochromator with the beam slow-scan axis paralkfl. to the wavelength axis of the dispersed spectrum. The monochromator was modified so that the grating image is focused on the target of the vidicon tube. With the grating and optics used in this research, the target monitors a wavelength window of 230 nm. Since the vidicon's silicon target provides usable response from about 250 nm to 1000 nm, the detector's 230 nm wavelength window can be positioned anywhere within this broad spectral range. The wavelength control circuit divides the target into a user—defined number of parallel electronic channels. Information in each wavelength channel is read out by a scan- ning electron beam under computer control and integrated over the vertical trace by the data acquisition system to enhance the signal- to—noise ratio. Through the software the user can vary the above scan parameters to optimize the response of the vidicon spectrometer to the chemical system under study. A new software package, CONVERS (100), was modified to run on a multiprocessor system (98) and was subsequently used as the software Operating system for the vidicon spectrometer. This system is based upon an interpretive compiler and offers the advantages of high speed operation, excellent memory efficiency, stack manipulation, and a variety of high level constructs, i.e. the programmer can develop his 24 own individual modifications and additions to the language itself. Once software modules have been entered into the system software library, they can be called up and executed in one of two ways: the name of the software module can be entered at the terminal for immedi- ate execution, Or the module name can be included as a line of code in another software routine. Thus, once the assembly language routines for instrument control and data acquisition have been written, the programmer can develop his own instrument-specific high—level language by designing software modules that contain the desired sequence Of assembly language module names. In the vidicon spectrometer, the coordinator micro controls and coordinates all activities in the multiprocessor system, and all termi- nal interaction is with this micro. The software that was developed for the coordinator micro is outlined in Table 3-1. The order of these routines is consistent with the order in the program listing in Appen- dix A. The power of the CONVERS language is evident in the following sequence of CONVERS commands that was used for characterization Of the vidicon spectrometer: VINIT DATA PLT EVAL WFILE Although this command sequence contains only five CONVERS calls, these individual modules allow maximum flexibility in optimizing the response 25 .Hmo ecu Ou MOQEDG HmEHomv m museuso HDoomn .aom ofiweeum on sumcfin BABIES amasz .cowmw>fic wocwfimcs headwn ufiplw Sn kumcwn ufinlcfi >HQ .%maamww canvascmzaam onu mmapmcw cam >maamww muflsamuw mcu mmapmmwv coca .vumon%mx one Eoum o Houuaou m now wxomno oo .Hmu one so mxumexuwu can moxm mzmuo me< .wumOQSOx mcu Eouw Hones: HOEHOOO m musaaH zHomo .zumcwn ufinlofi Ou mum ufiwwclm szoma .Aouuwe coowcw>v N chow: Ou AHOODCHOHOOOV C One“: Eouw mumc muowmcmuk NOB .HHOO mucoumwmu mnu wuowaom mmm .HHOO OHmEmm ecu muooaom mz ozu mo cowumuoeo pom wumBumom mmm>zoo .aum Danae 26 .cofiuomaaoo meme neumfiuflcH m3 wouumamm you mononuomnm paw .Oocmuqumcmuu .oocoumwou .OHaEmw mo mosam> mundane A<>m .Hmu ecu co Esuuooam mocmpuomnm no .mocmuu«Emcmuu .moamuowmu .OHaEmm mo muwono muOHm Ham .mafim omww haeoam m Ou xuoeoe mumv mo museucoo acouuso mmufiHS mAHmB .umuoeouuooam Douawfi> onu mmnwamwuwcH HHZH> .>HOEOE mumw Mm osu mumoao Mwmgu .muwsoufiu woven ummm use mmufiamauHcH Hmmm .muwsuuwo :mom coowwfi> Osu mmuwamwuwcH Hmm> .mmaemfic ow»mE:cm£aHm mcu moanmwfiv cam Smammfiw wuwzamuw mnu moanmcm zoo .cumonmmx osu Eoum mosam> Oasmwmv 3m: musacw can emu ecu Ou muoumempma cmom wasmmmv acouuso mundane Haom .Hmu\cumonzmx EOHM\OO :Owuwmoa MOOOEousuocoE muaauso\mu=a:H HDOZHS .A.v.ucouv .film OHQOH 27 of the vidicon spectrometer. The CONVERS routines resident in the other two micros are called as needed by the coordinator routines. Consequently, the routines in the two slave micros are completely transparent to the user. The user initiates an experiment by entering VINIT from the key- board. The coordinator then requests the current location of the mono- chromator. After the wavelength has been entered, the coordinator starts the operator dialogue routine (POUT). The CRT format for the operator dialogue is illustrated in Figure 3-1. It consists of a table of mnemonics, typical mnemonic default values, and an operator prompt (>). Table 3-2 explains the mnemonics and their functions. The user can change any or all of the mnemonic values by entering the mnemonic and its new value (see underlined portion in Figure 3-1). The processor checks the validity of each keyboard entry and updates the CRT display after each valid user response. If an illegal mnemonic or mnemonic value is entered, the processor outputs a question mark and waits for a valid input. If an entered mnemonic value is within the established boundary limits, but is not one of the discrete values allowed for that mnemonic, the processor selects the nearest allowed value and assigns it to the mnemonic. An entered mnemonic becomes the new default value for that mnemonic. Although the number of wavelength channels (PTS) can vary from 16 to 4096, only values of between 64 and 512 points/spectrum are useful. Fewer than 64 points results in too little resolution for most appli- cations, while more than 512 points requires excessive data storage and actually degrades the signal (see Chapter 4). The number of Figure 3-1. WAV PTS D LY B LK B YT AUG ADR OPT >(MNEMDNICI 28 550 5|2 IOO 8|92 (VALUEIIC I FRQ BEM ACQ GAI BIT INT CNT SRD CRT Format for Operator Dialogue 25 60 I2 I536 29 .AmH ou ~ I HHOOCw Hmowuuo> mo Honesz Smaon wan .Amem x arm n Hzov wouOum ma OO mouhn mo noses: HOuOH ucoou 920 .Am no .N .HV ucfioa some Hoe owOMOum mo wouzn mo monsoz mouam Hum .chaxaman I a .wcaxcman o: I SO coaumpwoucw Hmcwwm cam oomuuou weapon coon mo wCchmHn moanmcm wcwxcmam mam .Am Lo .oH .NHV Deanne o\< ca soamfiumoa mo moan mo Amnesz Dam eHm .Azmm x > mm.ou u mwmuao> vapov He capo Ou mwmuao> wcwHHOHucoo an ucouuoo Emma mumm Emom 2mm .Aeooq OO Hv cwwmuo>m on cu moemum snow mo poaasz owmuo>< o>< .owmu0um mumv MOM mmouvnm wafluumum mmonvv< mn< .AoH coooxo uoc cmo >49 new Oo< mo 85m OLHV .coOmquOCw on cu we Hmcwwm osu £OH£3 uo>o mam>uoOcH Hmowuuw> mo poneoz mufioco< oo< cofiuocsm GOfimamaxm oa:oEo:z mowcoaocz moonmfio Houmuoao .NIm manmh 30 .mswofimfic MOOOHDQO mmumcflshoe pom ozm .uOumeousoocoE mo Luwcoao>m3 acouuou LuwcmHm>m3 ><3 xuma mucouomom .AH n a .N u m .q n my OOOOOHHOO on 0u muuooem mo«maooam OHaEmm mam .Aomm 0u H n z MOM .z\omoq u memv maoccmco :uwcoaw>m3 mo Monasz mucwom mam .owcmupo>o cu umuuo>coo o\< onu omsmo uoc moon umcu :Hmw ecumquOCH umowuma onu wCHuOoHom ha Emumhm cowuwmwovom mumv onu mo :Hmw ecu monaEHuao HOODQEOO osu ..H. Ou uom MH muwefiuao Hmo .Ammm Ou ov madam cmom Hoe mmEmum cowumuwoucw mo wonaoz :oHumuwoOcH HzH .A.e.ocouv .Nnm Danae 31 wavelength channels also affects the time required to acquire a spectrum at a given scan frequency. For example, at 25 kHz the time required to acquire a spectrum ranges from 2.5 ms for a 64 point spectrum to 20.5 ms for a 512 point spectrum. The scan frequency, which is programmable from 10 kHz to 1 MHz, also affects the data acquisition time. Since a high scan frequency was not a prerequisite for this research, a scan frequency of 25 kHz was used throughout this work as a satisfactory compromise between sensitivity (integration time between successive readouts by the scan- ning electron beam) and acquisition time. For each spectrum acquired, the user can control three parameters to enhance the S/N: the number of bits in the A/D output, the number of spectral scans averaged, and the number of signal integrations per scan. Although faster conversion speeds can be obtained by "short cycling" (e.g. 4us for 8 bits vs 10us for 12 bits), the A/D quantiza- tion error is minimized by using the full 12-bit output of the con- verter. With a 12-bit converter output, the maximum S/N of the vidicon detector without signal averaging is measured to be 3086. (Maximum S/N is defined as the ratio of the maximum linear output level (~ 90% of saturation, see Chapter 4) to the root-mean-square (RMS) value Of the Observed background of a mercury lamp.) When time permits, signal averaging can be used to enhance the S/N by reducing random noise and converter quantizing noise (see Chapter 4). The charge integration capability of the silicon vidicon target can be used to enhance weak signals by increasing the exposure time. The exposure time is increased by blanking the electron beam and 32 inhibiting the deflection circuits for an integer number of frames. Signal intensity increases linearly with exposure time until the accumulated signal approaches saturation (see Chapter 4). Since charge integration integrates the signals in all wavelength channels equally, this technique is limited by the most intense feature in a spectrum. If integration continues after an intense region has sat- urated, the signal from the saturated channels will spread into adjacent channels. For a fixed data acquisition time, a combination of charge integration and signal averaging will often maximize the output response. The SRD mnemonic specifies the spectra that are to be acquired. A value of 7 results in the sequential acquisition of the sample, the reference (for absorption), and the dark spectrum under computer control. For a 512 point scan at a scan frequency of 25 kHz, all three spectra can be acquired in less than 10 sec. The ADR and CNT mnemonics are set by the computer and are not alterable by the user. Optimum beam current is achieved with BEM set to a value Of 60. DLY and ACQ may be changed as desired. The END mnemonic terminates the operator dialogue routine. Upon termination, the coordinator initializes the scan and data acquisition control circuits and clears the data memory. Next, the DATA command is entered to initiate data acquisition. Following completion of the data acquisition cycle, the PLOT routine can be used to plot the sample, reference, transmittance, or absorption spectrum on the CRT terminal. Alternately, the EVAL routine can be used to output to the terminal the sample, reference, transmittance, and absorbance values for specified 33 wavelength channels. Finally, WFILE outputs the sample, reference, and dark spectral data to the floppy disc. Prior to storing the spectrum on disc, WFILE allows the user to input the file name and file header text from the keyboard. Although the acquired spectral information can be processed locally by the micro, stored spectra are usually transmitted to the minicomputer for final processing. The communication link between the microcomputer and the minicomputer was designed by S. Hourdakis (99). The software written for this communication link (98,99) allows bidirectional transter of programs between the two computers. C. Post-Processing of Spectral Information Post-processing of the spectral output from the vidicon spectrom- eter is typically performed on the minicomputer to take advantage of the computational ability of the mini and to use the mini's peripherals. The data—processing software was written in FORTRAN IV and MACRO (assembly language) to run on a PDP 11/40 (Digital Equipment Corpor- ation) with 32K words of memory, RKOS hard disc, floppy disc, CRT terminal, and line printer. Listings of the program and its sub- routines are included in Appendix A. An example of a typical terminal interaction with the program is illustrated in Figure 3-2. The underlined portions are entered by the user. The program first requests the file specification, then looks up the specified file and outputs the file header text to the terminal. If the file is to be processed, the user specifies the normalization factor and indicates whether or not the background spectrum is to be 34 SRU VEDO FILE SPECIFICATION - IFL18POL§2§oDAT PCLS SPECTRUM .25M 122277 512 PTS D/A-3/6 25 KHZ BEN 8 6C PROCESS FILE 7: NORMALIZATION FACTOR r A. 64) s.§ SUBTRACT DARK SIGNAL 7: DATA OUTPUT CODES: I NOTHING DARK SAMPLE REFERENCE 3T ABSORBANCE WRITE FILE LOCATE EVALUATE ANOTHER FILE IO 8 EXIT 11 I SIN OQQOUDUN—D I I I I I I I I I LIST :9 PLOT : i THRESHOLD : 1g MIN I OoOCOCOOO AT POINT 5 MAX 8 788.0000000 AT POINT 239 SCREEN BOTTOM - g; SCREEN roe - 806- LINE PLOT . a. POINT PLOT . I : CHOICE : g. Figure 3-2. Program VEDO Terminal Interactions 35 subtracted from the sample and reference spectra. The upper limit on the normalization factor is equal to the number of signal averages. The lower limit represents the computer-selected prescaling factor that was required to fit the 24-bit data word from the micro into a 16—bit integer word at the mini. The normalization factor allows the user to specify the number of extra bits from signal averaging that are to be retained. Typically, half of the extra bits are retained for proces- sing. Next, the dark, sample, reference, transmittance, or absorbance spectrum can be selected for plotting on the terminal. Prior to plot- ting, the program searches out maximum and minimum intensity values in the spectrum and allows the user to scale the data as required for plotting. When plotting %T and absorbance, the user can input a threSh— old value which helps to reduce the distortion that can result at low intensities. At each data point the reference signal must exceed the sample signal by the threshold; otherwise, the point is assigned a value of 100% T or 0.0 A. After plotting the desired spectrum, the S/N of the spectrum can be further enhanced by smoothing the data using quadratic/cubic Savitzky and Golay convolution functions (103). To limit the amount of signal distortion, the width of the smoothing function should be no wider than the full-width-at-half—maximum (FWHM) of the narrowest spectral feature (101). The "locate" option uses the graphical input capability of the terminal to identify the channel number of a specific spectral feature. The data point of interest is selected with a movable cursor. The 36 program then outputs to the terminal the channel number of the selected data point and its corresponding values of sample, reference, %T, and absorbance. To ensure that the cursor did in fact select the desired point, the user can input the channel number to this routine and it will draw a vertical line from the baseline to the specified channel. Each time the "locate" option is called the spectrum is first plotted on the terminal. The'ENaluate" option can be used to output the values of sample, reference, ZT, and absorbance for spec- ified channels without plotting the spectrum on the terminal. The "write file" option records the spectrum on a user—specified file-structured storage medium for later plotting with MULPLT (102), a versatile and extremely powerful plotting package. The "S/N" option calculates the S/N and background RMS noise level of a spectrum. The "another file" option allows the user to specify another file for analysis. "Exit" returns control to the system monitor. Several input/output conventions were adopted in designing the VEDO analysis software. All operator prompts that require a yes or no answer end with a question mark (?). Secondly, all prompts that require an integer response end with a colon (:). Thirdly, all prompts that require a real number input, i.e. require a number with a decimal point, end with an equal sign (=). By coding all of the prompts in this manner, user interaction with the program is greatly simplified in that the user is not required to remember the form of the response for each prompt. Rather, the user only needs to remember three basic programming conventions. Examples of emission and absorption spectra recorded with the 37 vidicon spectrometer are given in Figures 3-3 thru 3-5. Figure 3-3 is the absorption spectrum of PrCl3 in IN HCl. Figure 3-4 is the emission spectrum of a lead hollow cathode lamp, and Figure 3-5 is the emission spectrum of the neon filler gas in the hollow cathode lamp. 38 .01 0.8- 442 nm to H L) 2 0.6- <1 00 m 467cm: ° n (I) (D 0.4- 482. nm < n 5860m 0.2- O T I j i _"1 400 450 500 550 600 WAVELENGTH (NM) Figure 3-3. Absorption Spectrum of PrCl3 (0.20M) in 1M HCl 39 I600? Pb 406 nm ). P - 0‘) 2! m g. z m :> _ Pb '- 4 _ 368 nm -’ 364 nm In t: W A: WM (3 l I I 1 I 250 300 350 400 450 500 WAVELENGTH (NM) Figure 3-4. Emission Spectrum of a Lead Hollow Cathode Lamp 40 I000! >_ .— ’— U) :5 LU h _ 2: DJ > _ l- 4 .J .. f “‘ - f W b 0 1 l l l l O IOO 200 300 400 500 CHANNEL. NUMBER Figure 3-5. Emission Spectrum of Neon Filler Gas in a Hollow Cathode Lamp CHAPTER 4 CHARACTERIZATION AND OPTIMIZATION OF THE SILICON VIDICON SPECTROMETER A. Introduction The microprocessor—controlled silicon vidicon spectrometer developed in this research is a powerful investigative tool for the analytical chemist. Microprocessor control of the instrument increases its versatility by allowing the scan format to be changed by software rather than by hardware modifications. Thus the computer can easily alter the operating parameters to optimize the performance of the instrument. This chapter describes the experiments used to charac- terize and optimize the performance of the vidicon spectrometer. The vidicon detector's multichannel spectral response was examined to determine its uniformity of response within a selected wavelength window. Wavelength linearity and resolution were measured and resolu- tion-limiting factors were identified. The relationships among the video output, scan rate, and beam current were studied and Optimum values were established. The response of the detector to incident light intensity was evaluated, and the linear response region was iden- tified. Charge integration was studied to evaluate its potential for signal-to-noise (S/N) enhancement. Next, the electronic background and random noise components of the video output were studied in order to determine their effect upon the maximum S/N of the system. Lastly, S/N enhancement techniques were evaluated. 41 42 B. Multichannel Spectral Response The RCA C23246 silicon vidicon tube used in this research is a variant of the RCA 4532 family of silicon-target vidicons with a fused- silica faceplate for increased ultraviolet response. The active target area of the vidicon is 12.8 mm (horizontal) by 9.6 mm (vertical). The reciprocal linear dispersion of the monochromator is 18 nm/mm in the focal plane. Consequently, the vidicon detector can monitor a 230 nm wavelength window in the present system. The spectral response curves in Figure 4-1 and 4-2 (101) show that the vidicon's silicon target provides usable response from about 250 nm to 1000 nm. Thus the detector's 230 nm wavelength window can be positioned anywhere within this broad spectral range. Spectral information within the 230 nm window is acquired simultaneously by the integrating diode array and read out sequentially by a scanning electron beam under computer control. As different areas of the active target area are illuminated by and respond to different wavelength resolution elements simultaneously, it is necessary to measure the uniformity of response across the active target area. This uniformity was experimentally determined for two different emission sources; a line source (436 nm emission line from a mercury lamp), and a continuous source (tungsten lamp, 546 nm). The channel response of the vidicon detector to a narrow emission line was measured by monitoring the height of the 436 nm line from a mercury lamp as it was moved to different positions across the vidicon target. At each position data acquisition was delayed for several 43 mA/W RESPONSIVITY m l ' l l l 1 200 400 600 800 I000 WAVELENGTH (NM) Figure 4-1. Responsivity of RCA C23246 Vidicon vs Wavelength IO - a - Es z'i E 94- u. u. uI 2 _ :’ 2 l- 2! '< 3 I ‘3 K) ‘ 8 d o\° s _ I I l l 200 400 600 800 IOOO WAVELENGTH (NM) Figure 4-2. Quantum Efficiency of RCA C23246 Vidicon vs Wavelength 44 seconds to ensure that the detector output had reached a steady-state value. Target exposure and scanning were continuous throughout the experiment. The resulting response curves are shown in Figure 4—3. Peak heights, areas, and widths at half-height of the emission line at selected channels from this curve are listed in Table 4—1. At either Table 4-1. Channel Response for a Line Source Channel # Relative Relative Width at (512) Peak Height Peak Area Half-Height(nm) 46 542 675 1.62 126 744 783 1.35 199 952 877 1.23 294 974 907 1.14 384 977 924 1.33 480 646 983 2.03 end of the target the observed peak profile broadened and the peak height decreased; however, the corresponding peak area increased as the emission line was moved from left to right. Busch, Howell, and Morrison (36) reported the same results using a commercial optical multichannel analyzer with an RCA 4532 UV-sensitive silicon diode vidicon. They suggested that part of the observed response could be accounted for by a lack of focus at the edges of the target. This lack of focus apparently results from placement of the flat vidicon target in the curved focal plane of the monochromator. The channel response of the vidicon detector to a tungsten source is shown in Figure 4-4. The tungsten spectrum was moved across the 45 mafia E: omq w: 0n umwpmh coowvw> mo mmcoammm Hmccmco .mnq wuowwm mmmZDZ 4mzz<1o oom 00¢ oon CON oo. o — b P p — p b p b F O a a 3 .I v :08 u A :85: 3 x mo mmcoammm Hmccmzo mwmiaz szzm3 .N-e eHeee 50 the instrument. The minimum spectral bandpass (width of a spectral line at half of its full height) that can be obtained with the vidicon spectrometer is a quantitative measurement of its resolution. This spectral bandpass is linearly dependent upon the slit width. Although resolution can be increased by decreasing the slit width, the light- gathering power of the monochromator and the sensitivity of the detector place a lower limit on the slit width. Sufficient light must reach the detector to enable spectral features to be distinguished from background noise. Typically a monochromator has two slits; an entrance slit, which provides a narrow source of light to the dispersion optics to minimize overlap of monochromatic images, and an exit slit to select a narrow band of the dispersed spectrum for observation by the detector. In practice these slits are usually the same width so that the image of the entrance slit is just passed by the exit slit. However, in the vidicon spectrometer the exit slit has been replaced by the silicon target of the vidicon detector, which monitors a 230 nm window. Thus the limiting resolution will be a function of both the monochromator entrance slit width and the resolution of the vidicon target. The experimental resolution of the vidicon spectrometer was evaluated by measuring the full width at half maximum (FWHM) of the 406 nm emission line from a lead hollow cathode lamp and the 436 nm emission line from a mercury lamp at a slit width of 25 pm. The resulting emission spectra are shown in Figures 4-5 and 4-6. The FWHM for these two lines were 1.26 nm and 1.28 nm respectively. Similar results have been reported by Ridder and Margerum (78). The 51 I600 .1 Pb 406 nm I200- INTENSITY BOO- Pb RELATIVE 400- 364 nm 368 nm L440...“ 1 I I T I 250 300 350 400 450 500 WAVELENGTH (NM) Figure 4-5. Emission Spectrum of a Lead Hollow Cathode Lamp 52 800-1 “9 * 507nm " (254nm) >"600" I- a) 2 m _ P Hg 2 '" 546 nm 400- II.) 2 I- ‘4 ._ .1 ul 1 200- H9 H9 * 626nm - 577"" 579nm (313 nm) PHJ L—J l___A_fvv_ A—J—~ 0 , I l l l 450 500 550 600 650 WAVELENGTH (NM) Figure 4-6. Emission Spectrum of a Mercury Lamp (* - second order Hg line) 53 monochromator spectral bandpass at this slit width is 0.45 nm. Consequently, the resolution of the spectrometer is limited by the resolution of the vidicon detector itself. The resolution of the vidicon spectrometer was increased by decreasing the slit width to 6 um. The FWHM of the 436 nm mercury line at this slit width was 0.97 nm. However, the peak intensity at this slit width was approximately one-tenth of the intensity at 25 um. Below 6 um the peak was not distinguishable from the background noise. Therefore a slit width of 25 um represents the usable lower limit for the optical system used in this research. Higher slit widths can be used, but only with a corresponding decrease in resolution. Resolution can be increased at the expense of wavelength coverage by using a grating with a larger resolving power (smaller reciprocal linear dispersion). Another indication of an instrument's resolving power is the degree of separation between two closely spaced spectral lines. Figure 4-6 shows that the vidicon spectrometer attains baseline resolution of the 577/579 mercury doublet at a slit width of 25 um. This doublet resolution further supports the observed resolution of 1.2 nm at a 25 um slit width. 3. Resolution of the Vidicon Detector If the scanning electron beam used for channel readout in the silicon vidicon had an infinitely narrow width, the resolution of the vidicon detector would be limited by the packing density of the diode array (approximately 900 discrete diodes per target width) (3). 54 Unfortunately, the electron beam has a finite width, and it is this beam width that limits the resolution of the vidicon detector (8). Since the reciprocal linear dispersion of the monochromator is 18 nmfimn, the vidicon's limiting spectral resolution of 0.97 nm implies a beam diameter of 0.054 nm. This value is in excellent agreement with previously reported beam diameters of 0.062 nm (34) and 0.051 nm (107). The width of the electron beam was also measured using the approach of Nieman and Enke (61). The 456 nm emission line of a lead hollow cathode tube was focused on the center of the vidicon target and its height was recorded as the number of wavelength channels was varied from 64 to 512 by powers of two. Since channel exposure time is pro- portional to the number of channels in the spectrum, the observed intensity should increase as the number of channels is increased. The observed response is shown in Figure 4-7. The observed intensity increased linearly with the number of channels up to 256 channels per spectrum; however, the intensity decreased when the number of channels was increased to 512. When the step size between adjacent channels is smaller than the beam diameter, the beam overlaps a portion of the next adjacent position so that when this position is sampled a smaller signal is observed than for no overlap. Using this interpretation of Nieman and Enke, the experimental beam diameter is less than 1/256 of the target width (0.050 nm), but substantially greater than 1/512 of the target width (0.025 nm). Since the vidicon monitors a wavelength window of 230 nm, the detector's limiting spectral resolution accord- ing to this approach is approximately 0.90 nm. This value is in excellent agreement with the observed spectral bandpass of 0.97 nm at a slit width of 6 um. 55 RESPONSE (VOLTS) N I I I I 64 I28 256 5l2 NUMBER OF CHANNELS Figure 4-7. Vidicon Response vs Number of Wavelength Channels 56 This limiting spectral resolution of 0.97 nm applies only to the center portion of the target surface. The resolution of the vidicon decreases near the edges of the active target (see Section B). Conse- quently, the limiting spectral resolution near the edges would be greater than 1 nm. D. Analytical Signal The video signal from the vidicon detector consists of three parts; the analytical signal, electronic background, and random noise. These parts are illustrated in Figure 4—8, which shows three overlaid mercury emission spectra and their corresponding signal-to-noise ratios (S/N) for the 436 nm mercury line. Spectrum 1 represents 1 scan of the electron beam across the target, while spectrum 2 represents the average of 512 individual scans. For spectrum 3, the average of 512 scans of the background signal (shutter closed) was subtracted from the average of 512 scans of the observed signal (shutter open) to obtain a background-corrected spectrum. Signal-to-noise ratios for the 436 nm mercury line were calculated by dividing the peak intensity by the root-mean-square (RMS) background, which was calculated using 50 signal- free channels adjacent to the 436 nm emission line. A comparison of spectrum 1 and spectrum 2 reveals that the effect of random noise on the signal—to-noise ratio is negligible compared to the effect of the electronic background, and that there is little advantage to signal averaging without background subtraction. However, when the background is subtracted from the video signal, a significant improvement in S/N is realized through signal averaging. Thus the 57 40007 436 nm .II >-3000- .— (I) Z - m .— Z 2000- S/N =8490 LLI > I— " A q l 'J i m S/N=3l8l a: IOOO" I * A." d ; S/N = 2880 O I 1 I I l O IOO 200 300 400 500 CHANNEL NUMBER Figure 4-8. Components of the Vidicon Spectrum 58 electronic background is not only reproducible from scan to scan, but is sucessfully removed from the video signal by subtraction. The remainder of this section examines the factors affecting the analytical signal and its optimization. The following section examines the elec— tronic background and random noise components. 1. Vidicon Detector Operating Voltages The data sheet for the C23246 vidicon tube specifies a fixed voltage of +8 volts at the target; however, this requires that the target be capacitively coupled to the current-to—voltage converter. Instead, a fixed voltage of -8 volts was applied to the cathode and the target was connected directly to the summing point of the amplifier. This arrangement maintains the 8 volt potential between the cathode and target and permits a direct coupling between the target and amplifier (10). The remaining tube voltages were maintained at the recommended levels (see Table 7-1) (104). The beam current of the vidicon is controlled by a negative voltage (0 V to -150 V) applied to Grid No. 1 from a high voltage amplifier (Datel AM301A high voltage, high speed FET 0A with i 140 V output swing, slew rate of 100 V/us). The high voltage amplifier is interfaced to the microcomputer via an 8-bit digital-to-analog con— verter (Datel DAG-29 8-bit DAC with 5 us voltage settling time). Figure 4-9 shows the relationship between detector response to the 436 nm mercury emission line and Grid No. 1 voltage at a scan rate of 25 kHz. The observed response is a maximum at a grid voltage of -38 volts. This grid voltage was used for all subsequent measurements at 25 kHz. 59 600- 500‘ >_ o I- ” 400- z m 0 g. E 300‘ III 2 I- < E: 200- a: . IOO O 1 1 I I 0 -30 --60 -90 -|20 -l50 GRID #l VOLTAGE (v) Figure 4-9. Vidicon Response vs Grid #1 Voltage 60 The Optimum beam current was not observed to change with the scan frequency. 2. Response Near Saturation The reverse—biased photodiodes in the vidicon target operate in the charge storage mode and hence are integrating type detectors. Between scans the reverse bias charge stored on the diodes can be discharged by either photo—generated charge carriers (light falling on the diode) or by thermally generated charge carriers (dark current). Thus the signal level necessary to re—establish reverse bias on the diodes during the next scan is a measure of the total light intensity and dark current integrated over the time between scans of the array. Unfortunately, these diodes have a saturation level (the reverse bias~ charge). If the total charge accumulated on a diode between scans reaches the reverse bias charge, the diode will saturate. Once satu- rated, the diode can not acquire additional charge so that all signal information between the time of saturation and recharge by the electron beam is lost. As non—linear response was expected near saturation (61), the response of the detector near saturation was measured to identify the linear response region. The response near saturation was studied by measuring the tranamfiw tance of a neutral density filter (T = 0.54) as the intensity of the tungsten source was varied. The magnitude of the reference signal (no filter) was used as a measure of signal intensity. The results of this experiment are shown in Figure 4-10. The observed non-linearity is 1% at 90% of saturation. The detector's linear response thus extends to 61 000». cowumusumm Hmwz mmcommmm coowvw> .ofilq muswwm $5232. 329.... mozmmmemm coon ooo~ ooo. o - h p - b - - moo _ I — d I _ $8 I ed _ — I S. v. m; I no u_ v. H.- I on uN_ 1 may _ _ I _ _ I ad _ _ . r o._ HBL'IIJ :JO BONVlllWSNVHJ. OBHRSVBW 62 approximately 90% of saturation. In all subsequent experiments the amplifier gain was adjusted to keep all measurements within this linear response region. 3. Linearity and Range The response of the vidicon as a function of intensity should follow the relationship Response a IntensityY where y is the gamma function (3). For the silicon diode vidicon, gamma is expected to approach unity. The linearity of the silicon vidicon was experimentally measured by varying the tungsten source intensity with combinations of neutral density filters and recording the corresponding A/D converter response. With no filter in the optical path (100% T), the gain of the data acquisition system was adjusted so that the converter received a full scale (+10 V) input when the vidicon target was at approximately 40% of saturation. The value of the observed converter response versus filter transmittance is given in Table 4-3. At two points the gain of the data acquisition system was increased to make use of more bits in the converter's response; all data were scaled to the original gain setting. The integration time was the same for all data points. A plot of log (converter response) versus log (% T) (Figure 4-11) shows that the vidicon's response is linear over nearly four decades. A linear least squares analysis of the linear portion of this response curve yielded a slope (y) of 1.025 t 0.005, a linear correlation coefficient of 0.9997, and a standard error of estimate of Y on X of 0.024. Similar results have 63 cowuocsm ummmcmue couwvw> mwhdm no u- D db .aaue eeemee HELHBANOO BSNOdSBH 64 been reported by Milano et. a1. (10). Table 4-3. Vidicon Linearity and Range Transmittance Response Transmittance Response 1.0000 3032 0.0159 84 0.7079 2194 0.0100 60 0.5012 1584 0.0071 48* 0.3548 1175 0.0050 32 0.3162 1122 0.0031 24 0.2238 859 0.0010 8 0.1585 599 0.0007 7 0.1122 447* 0.0005 5 0.1000 387 0.0004 4 0.0708 303 0.0002 2 0.0501 203 0.0001 2 0.0316 159 * amplifier gain change 4. Signal Enhancement with Charge Integration The charge integration capability of the silicon vidicon target can be used to enhance weak signals by increasing the exposure time. Exposure time was increased by blanking the electron beam and inhib- iting the deflection circuits for an integer number of frames (time required to record one spectrum). The scan circuit was then enabled, and the accumulated signal read out during one readout frame. The total number of exposure frames during which the charge accumulates is equal to the number of integration frames (scan time during which beam is inhibited) plus one (one readout frame). Intensity versus exposure frame data for three mercury emission lines (366.3 nm, 404.7 nm, and 65 435.8 nm) are listed in Table 4-4. One exposure frame is equivalent to an exposure time of 20 ms. A plot of log (signal intensity) versus log (number of exposure frames) (Figure 4-12) shows that all three curves have a linear region. The slopes and linear correlation coefficients of these linear regions are given in Table 4-4. As the accumulated signals approach saturation, non-linearity occurs. Thus signal intensity increases linearly with exposure time until the accumulated signal approaches saturation. Charge integration integrates all wavelengths evenly. Conse- quently, this technique is limited by the most intense feature in a spectrum. Charge integration can be utilized only until the most intense feature saturates. If integration continues after an intense region has saturated, the signal from the saturated channels will spread into adjacent channels, in contrast to linear diode arrays (17). Since dark current also increases linearly with exposure time, it places an upper limit on the number of integration frames that can be used for signal enhancement. For the present system the accumulated dark signal approaches saturation at an exposure time of approximately 3 seconds (150 frames). Cooling of the silicon diode array would significantly lower the dark current (77) and permit longer integration times for increased enhancement capability of weak spectral features. E. Electronic Background and Random Noise The two remaining components of the vidicon video output that need to be characterized are the electronic background and random noise. These two components are not related to the properties being measured 66 Table 4-4. Signal Enhancement with Charge Integration Number of Signal Intensity (volts) Exposure Frames 366.3 nm 404.7 nm 435.8 nm 1 .024 .092 0.231 2 .048 .184 0.470 3 .069 .284 0.718 5 .123 .482 1.241* 9 .202 .870* 1.702 17 .386* .354 1.920 Log-log Plot Slope .978 .031 1.044 Oslope .014 .006 0.008 Linear correlation 0.9996 0.99996 0.99994 coefficient * Last data point included in least-square fit 67 - ---------- SATURATION ----- 435.8 nm (D F- .J o C )> _I - - ). I- m z w I- z w 2 I- < _.I III a: 5l2 scans _ __ - v J I scan F _ I"-.. - _fi~ 0 " I I I I I 0 l00 200 300 400 500 CHANNEL NUMBER Figure 4-13. Vidicon Dark Signal 70 4000- ). 3000‘“I I'- (D Z LIJ I'- Z S/ - 4 0 " 2000- "'8 9 2 . 11 1 1 > I- < _.I m I000- m S/N=2880 I 0 T I I I j 0 IOO 200 300 400 500 CHANNEL NUMBER Figure 4-14. S/N Enhancement with Background Subtraction 71 Background subtraction not only removed the noise spike from the first several channels, but also noticably improved the form of the baseline. This baseline improvement resulted in a significant increase in the S/N of the 436 nm mercury line. When sufficient data acquisition time is available, signal aver- aging can be used to improve the real-time S/N of 3086 (4792 with back- ground subtraction) by removing random noise from the output of the vidicon spectrometer. Figure 4-15 illustrates the improvement in maximum S/N achieved with signal averaging. (Maximum S/N is defined as the ratio of the maximum linear output level to the root—mean-square (RMS) value of the observed background, which was calculated using 50 signal-free channels adjacent to the 436 nm mercury emission line.) The lower trace shows the improvement in S/N without background sub- traction; the upper trace the improvement in S/N with background sub— traction. Signal averaging is observed to have limited utility in S/N enhancement when the background is not subtracted. The electronic background, which is not affected by signal averaging, limits the maximum S/N to approximately 4,200. However, the maximum S/N increases linearly with signal averaging when the background is subtracted. Thus, when used with background subtraction, signal averaging does success- fully improve the maximum S/N by removing random noise from the video signal. Further, Figure 4-15 shows that good S/N data can be obtained with the vidicon spectrometer without the need for extensive signal averaging. Since the data acquisition system is a digital system, quantizing noise can also limit the S/N of the system (108-111). Quantizing 72 AEOHuomuunsm wcsouwxomn unocuw3 I m .cowuompupsm ccsouaxomn :uwB I <0 wcwamum>< Hmcwwm Lufiz ucmEmocmscm z\m .mHIq muswwm owo< mz( mz< HQCde SUM»; UCQEwUCNSCM Z\m 10.0 I o0 I 0.. BSNOdSSU (SlWOA) mtn u 2\m Z< m2