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In-house courses

Harvest Imaging is offering the option for in-house teaching as well, ranging from 1 day to 5 days in a row. In these courses the customer can fully tailor the course content towards the needs of the participants. In this way, the best learning efficiency can be obtained depending on the customer’s needs. To help the customer to define and tailor the program of an in-house training, a simple tool is developed in which :
  • all available material is categorized in 60 chapters,
  • the content of each chapter is briefly described,
  • the total length (in minutes) is indicated in the case the complete chapter is offered to the participants,
  • examples of 4 courses are indicated (the 5-day public course, the 4-day public course, the 2-day public course on CMOS imagers and an hypothetical course of 2 days on CCDs).
By means of this tool you can easily compile your own course program. Simply fill in the time (in minutes) that you want to spend on each chapter, and at the end of the road, the tool will tell you how many days your tailored course program will cover.

In-house course Tool

Step 1: Choose your course

Either select a predefined course:

Or select to create your own custom course:

If you select this option, don't forget to choose your custom chapters in step 2.

Step 2: Choose your custom chapters

If you selected custom course, then select your custom minutes, and click on "Calculate the length of the custom course".

Chapter Description Longest Version (in min.) CCD Course (in min.) CMOS Course (in min.) Digital Imaging (in min.) System Course (in min.) Adv. course Imagers (in min.) Hands-on Evaluation (in min.) Custom Course (in min.)
1IntroductionGeneral introduction to the course, introduction lecturer, introduction participants, course objectives, historic overview of solid-state image sensors, literature, conferences, periodicals, applications and links to specific websites6030305030200
2Semiconductor PhysicsA review of the semiconductors physics related to electrical conduction in silicon, Si doping with P and As : n-type silicon, Si doping with B : p-type silicon200020000
3MOS CapacitorMOS capacitor in accumulation, depletion, deep-depletion and weak inversion202020302000
4Charge TransportTransporting a charge packet from one MOS-capacitor to the next one202010201000
5CCD TransportTransporting a charge packet from one CCD cell to the next one, channel definition, 4-phase transport, 3-phase transport, 2-phase transport, single phase transport, virtual CCD, channel definition35351035000
6Input StructuresCCD electrical input structure by means of a fill-and-spill method101000000
7MOS TransistorWorking principle of the MOS transistor : cut-off, linear region, saturation region, source-follower configuration, offset differences between source-followers151515151500
8Output StructuresCCD output structure, CMOS active pixel output structure, floating diffusion amplifier, conversion factor/gain352525352500
9PhotodiodesWorking principle of photodiodes, photodiode in integration mode, reset of photodiodes, pinned-photodiodes, fully depleted pinned-photodiodes, n-type and p-type pixels2010202020200
10Photon SensingBy means of a photogate or photodiode, readout by means of a CCD register or CMOS readline1001010000
11One Dimensional ImagersLinear, Bi-linear and Quadri-linear arrays1515015000
12Two Dimensional ImagersWorking principle of the Frame-Transfer CCD, Full-Frame CCD, Interline Transfer CCD, Frame Interline Transfer CCD, XY-MOS sensor, rolling shutter versus global shutter4040204020300
13CMOS ImagersTwo-dimensional CMOS array with passive and active pixels, without ADC, with single ADC, with column level ADC and with pixel level ADC251025251000
14A-to-D ConvertersFlash ADC, Single-Slope ADC, Sigma-Delta ADC, Successive Approximation ADC, Cyclic ADC, Pipelined ADC. How many bits are needed for a certain application?250025000
15CMOS PixelsPassive Pixels, APS with photodiodes, APS with photogates, APS with pinned-photodiodes, shared pixel concept, pinned-photodiodes with 3T, logarithmic pixels, correlated-double sampling, data-double sampling, example of circuit diagram, example of pixel lay-out, wide-dynamic range pixels, global shutter pixels, pinned photodiodes650506550500
16CMOS ScalingWhat is the effect of Moore's Law on the imaging performance of CMOS image sensors ? What is the effect on pixel size and fill factor ?25025252500
17CMOS versus CCDWhat are the major differences between both technologies ? Cost, power consumption, functionality, image quality2502525000
18Economics of ImagersWhy are solid-state imagers that expensive ? What is the impact on cost when more circuitry is integrated on the imaging chip ?200200000
19Scanning ModesTV standards. Progressive scanning, interlaced scanning, non-interlaced scanning30201030000
20SwitchabilitySwitching between 2 aspect ratios while keeping the number of line on imager constant252500000
21SmearSmear in frame-transfer CCD, in interline-transfer CCD and in CMOS image sensor2525025000
22OpticsBrief overview of geometric optics : positive lens, negative lens, lens aberrations, field-of-view, depth-of-field, F-number, diffraction limit, lens MTF9000609000
23Dark CurrentDark current, dark current fixed-pattern noise, dark shot noise : where does it come from ? how to correct ? how to reduce ? temperature effect on dark current60404060000
24Transport InefficiencyWhat is the effect of transport inefficiency on the image quality ?101000000
25Buried Channel CCDSurface channel and Buried channel CCDs1010010000
26Blooming and Anti-BloomingWhat is blooming and how to avoid : anti-blooming by clocking, or lateral anti-blooming, vertical anti-blooming, anti-blooming in CMOS image sensors20201020000
27Electronic ShutterElectronic charge reset or integration time shortening, rolling shutter versus global shutter, flickering, global shutter pixels with 4T, 5T, 6T and 7T, pipelined shuttering pixels, global shuttering in the charge and in the voltage domain4535354535500
28ResolutionWhat is the effect of number of pixels on the image quality ?5005000
29SamplingWhat is the effect of sampling on image quality ? Nyquist theorem, aliasing, Moire-effects350035000
30Modulation Transfer FunctionGeometrical MTF, Moire-effects, effect of the fill-factor on geometrical MTF, eye MTF, film MTF500050000
31Light SensitivityAbsorption coefficient, light absorption in silicon, generation of electron-hole pairs, collection of charge carriers, spectral response, quantum efficiency, optical formats, cross-talk554545552500
32Colour ImagingWhy is colour imaging so difficult ? Colour diagrams, colour imaging by means of a rotating filter wheel, by means of a colour prism, by means of silicon as colour splitter and by means of colour filters, stripe filters, mosaic filters, Bayer pattern, interpolation or demosaicing, colour matrixing, effects on sensor resolution 10060601006000
33Light SourcesDefinition of radiometric and photometric units 20000000
34NoiseDefinition of noise or kTC noise, reset noise, correlated-double sampling, 1/f noise, RTS noise, thermal noise, quantization noise, dark shot noise, transfer-gate noise, photon shot noise, dark fixed-pattern noise, light fixed-pattern noise, leakers, soft errors, hard errors, defects, perception of noise, transfer curve of an image, cosmetic defects, radiation damage1501201201501502400
35Number of Photons/ElectronsHow many electrons does one get in a pixel for a certain amount of light input ? How many Volts does one get at the output of the sensor for a certain amount of light input ?250002500
36Dynamic RangeDefinition of dynamic range, influence of integration time, temperature and pixel frequency on dynamic range, wide-dynamic range pixels30202030000
37Noise as a Measurement ToolUsing the typical photon shot noise characteristics as a measurement tool for analyzing solid-state sensors or cameras, photon transfer curve, photon shot-noise method, mean-variance method, practical use of the photon shot noise method, noise as a diagnostic tool, photon transfer curve by means of multiple images, by means of 3 images, by means of 2 images and by means of a single image3030303030600
38Signal-to-Noise RatioDefinition of signal-to-noise ratio, effect of manipulation of images on signal-to-noise ratio : adding images, subtracting images, multiplying/dividing images351515351500
39Increasing Light SensitivityHow can the light sensitivity of an imager being increased : use of micro lenses and its limitations, optimization of the multi-layer structures, amorphous silicon top layers, back-side illumination, binning in the charge domain, in the voltage domain and in the digital domain, light pipes853030750600
40Special DevelopmentsBuilding-block concept and stitching, sub-sampling, binning, multi-mode CCD, super-CCD, Time-Delayed Integrating, electron-multiplying CCD55250550600
41How CCDs Are MadeAn overview of the CCD production process is given in 60 sheets : from bare silicon substrates till a complete device with colour filters and micro lenses303000000
42TestingWhat makes testing of solid-state image sensors so special ?300015000
43PackagingWhat makes packaging of solid-state image sensors so special ?300015000
44How To Measure ?The dark current, dark non-uniformities, light non-uniformities, light sensitivity, quantum efficiency, saturation level, linearity, conversion gain, MTF, transport efficiency, cross-talk and image lag8000808000
45Analysis of SpecificationsThe data-sheets of 3 existing CMOS image sensors are analyzed and compared with each other6004545000
46Image ProcessingBinary Tips, Look-Up Table, Histograms, Histogram Stretching, Processing with a Kernel, Low-Pass Filtering, High-Pass Filtering, Median Filtering, Fourier Transform600006000
47Auto-White BalancingWhy is auto-white balance needed ? Metamerism of the human eye/brain, AWB based on the Grey World, AWB based on White Points, adaptive thresholds in AWB350003500
48Optical-Low-Pass FilteringWhy is optical-low-pass filtering needed ? How is it implemented ? Contouring and unsharp masking300003000
49VignettingLens vignetting, sensor vignetting. Correction of vignetting : intensity and sharpness correction300003000
50MatrixingWhy is colour matrixing needed ? Influence of colour filters, sensor quantum efficiency, cover glass, lens transmission. Relation between matrix coefficients and signal-to-noise ratio, how to find the matrix coefficients, using weighting factors to optimize the matrix coefficient800008000
51DemosaicingBilinear interpolation, interpolation based on constant hue, gradient based interpolation, adaptive interpolation, luminance-chrominance based interpolation, adaptive luminance-chrominance interpolation500005000
52Dark Current Correctioncorrection by means of black lines/columns, correction by means of a single dark frame subtraction, correction by means of multiple dark frame subtraction, correction in the case of long exposure times, correction in the case the camera has no mechanical shutter3000030300
53Column FPN CorrectionColumn FPN correction by means of a measured correction signal, influence of temporal noise on the column FPN correction2000020300
54Defects CorrectionCorrection of defects in the case the address of the defect is known and in the case the address of the defect is unknown, detection of defects, correction of defect columns200002000
55Noise FilteringNoise reduction by means of low-pass filtering, by means of adaptive filtering, K nearest neighbour algorithm, sigma filter, salt-and-pepper noise filtering, median filtering in one and two dimensions350003500
56Auto ExposureDefinition of ideal exposure, analog gain, digital gain, global correction, local correction0000000
57Auto Focuscontrast detection method, phase detection method, PDAF pixels, extended depth-of-field0000000
58Camera SystemComplete overview of all the artefacts discussed and all correction methods applied. A clear insight is given how the correction of one particular artefact can influence the correction of another one2000202000
59DemonstrationLive demonstration of several image sensor aspects : dark current, fixed-pattern noise, resolution, thermal noise, power supply noise, dynamic range, light sensitivity, black-level control6000400100
60Human EyeComparison is being made between the human eye on one hand and the CMOS and CCD sensors on the other hand151515151500
61EvaluationClosure and evaluation of the course101010101000
62ExercisesPractical exercises on various topics are available : clock generation for the sensor, timing, power dissipation, dark current distribution and non-uniformities, electronic shuttering, colour interpolation, dynamic range, smear, signal-to-noise, noise, conversion of units, camera systems, etc.84000380000
63Hands-On Evaluationin-class evaluation of image sensors and cameras, dark current, dark fixed-pattern noise, noise floor in dark, performance, light performance such as PRNU, linearity, full well, MTF, light sensitivity, etc.000000750
Total (in minutes) 3040 m. 815 m. 790 m. 1945 m. 1170 m. 660 m. 750 m. 0 m.
Total (in days) 7.8 d. 2.1 d. 2.0 d. 5.0 d. 3.0 d. 1.7 d. 1.9 d. 0.0 d.

Step 3: Fill in your contact information

If you are satisfied with the outcome of Step 2 (# minutes and # days), then proceed by filling in your contact information below. Otherwise, you can continue customizing the chapters and minutes in step 2 (don't forget to click on "Calculate the length of the custom course" each time you make a change).

First Name:* Last Name:*
Company:* Phone:*
Course Location:* Email:*
# Attendees:*
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