Dr. Klaas Tack Profile

Dr. Klaas Tack

Research Engineer

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Author

Publications (13)

Proceedings Article | 17 March 2023 Paper

Production of dielectric filters with low defect levels for integrated optical devices

Stephan Mingels, Navas Kutty, Nicolaas Tack, Dries Bangels, Elias Janssens, Harro Hagedorn

Proceedings Volume 12424, 124241J (2023) https://doi.org/10.1117/12.2667774

KEYWORDS: Particles, Semiconducting wafers, Optical coatings, Optical filters, Semiconductors, Coating thickness, Dielectric filters, Vacuum chambers

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Proceedings Article | 5 March 2022 Poster + Presentation + Paper

A new compact snapshot multispectral mosaic imager with an improved deposition process

Bert Geelen, Klaas Tack

Proceedings Volume 12004, 120040Q (2022) https://doi.org/10.1117/12.2605733

KEYWORDS: Optical filters, Imaging systems, Etching, CMOS sensors, Multispectral imaging, Deposition processes, Wafer-level optics

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Proceedings Article | 2 March 2022 Presentation + Paper

Miniature NIR spectrometer for mobile applications

M. De Bock, M. Jacobs, K. Raczowski, J. Hermans, K. Tack, R. Lieten, P. Van Wesemael, G. Evangelopoulos, W. van der Tempel, J. Borremans

Proceedings Volume 12013, 120130E (2022) https://doi.org/10.1117/12.2608648

KEYWORDS: Hyperspectral sensing, CMOS sensors, Spectroscopy, Fabry–Perot interferometers, Optical filters, Sensors, Thin films, Skin, Near infrared, Bandpass filters, Calibration

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Proceedings Article | 20 February 2017 Paper

System-level analysis and design for RGB-NIR CMOS camera

Bert Geelen, Nick Spooren, Klaas Tack, Andy Lambrechts, Murali Jayapala

Proceedings Volume 10110, 101100B (2017) https://doi.org/10.1117/12.2250852

KEYWORDS: Near infrared, RGB color model, Optical filters, Image filtering, Sensors, Thin films, Quantum efficiency, CMOS sensors, Cameras, Bandpass filters, Absorption filters

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Proceedings Article | 21 October 2016 Presentation + Paper

RGB-NIR active gated imaging

Nick Spooren, Bert Geelen, Klaas Tack, Andy Lambrechts, Murali Jayapala, Ran Ginat, Yaara David, Eyal Levi, Yoav Grauer

Proceedings Volume 9987, 998704 (2016) https://doi.org/10.1117/12.2239603

KEYWORDS: Near infrared, Image processing, Vertical cavity surface emitting lasers, Sensors, Optical filters, RGB color model, Objectives, Image fusion, Cameras, Semiconducting wafers

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Proceedings Article | 12 May 2016 Paper

A novel CMOS-compatible, monolithically integrated line-scan hyperspectral imager covering the VIS-NIR range

Pilar Gonzalez, Klaas Tack, Bert Geelen, Bart Masschelein, Wouter Charle, Bart Vereecke, Andy Lambrechts

Proceedings Volume 9855, 98550N (2016) https://doi.org/10.1117/12.2230726

KEYWORDS: Sensors, Optical filters, Imaging systems, Cameras, Image filtering, Line scan image sensors, CMOS sensors, Hyperspectral imaging, Image processing, Prototyping

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Proceedings Article | 13 March 2015 Paper

A tiny VIS-NIR snapshot multispectral camera

Bert Geelen, Carolina Blanch, Pilar Gonzalez, Nicolaas Tack, Andy Lambrechts

Proceedings Volume 9374, 937414 (2015) https://doi.org/10.1117/12.2077583

KEYWORDS: Cameras, Sensors, Optical filters, Imaging spectroscopy, CMOS sensors, Electronic filtering, Spectral imaging cameras, Image filtering, Mirrors, Spectral resolution

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Proceedings Article | 7 March 2014 Paper

A compact snapshot multispectral imager with a monolithically integrated per-pixel filter mosaic

Bert Geelen, Nicolaas Tack, Andy Lambrechts

Proceedings Volume 8974, 89740L (2014) https://doi.org/10.1117/12.2037607

KEYWORDS: Optical filters, Sensors, Image filtering, Cameras, Imaging systems, CMOS sensors, Imaging spectroscopy, Absorption filters, Spatial resolution, Reflectivity

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Proceedings Article | 18 May 2013 Paper

Low-complexity image processing for a high-throughput low-latency snapshot multispectral imager with integrated tiled filters

Bert Geelen, Murali Jayapala, Nicolaas Tack, Andy Lambrechts

Proceedings Volume 8743, 87431E (2013) https://doi.org/10.1117/12.2015248

KEYWORDS: Optical filters, Sensors, Cameras, Image filtering, Imaging systems, Image processing, Reflectivity, Objectives, Multispectral imaging, CMOS sensors

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Proceedings Article | 5 March 2013 Paper

A snapshot multispectral imager with integrated tiled filters and optical duplication

Bert Geelen, Nicolaas Tack, Andy Lambrechts

Proceedings Volume 8613, 861314 (2013) https://doi.org/10.1117/12.2004072

KEYWORDS: Optical filters, Sensors, Cameras, Image filtering, Objectives, Imaging systems, Integrated optics, CMOS sensors, Prototyping, Multispectral imaging

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Although the potential of spectral imaging has been demonstrated in research environments, its adoption by industry has so far been limited due to the lack of high speed, low cost and compact spectral cameras. We have previously presented work to overcome this limitation by monolithically integrating optical interference filters on top of standard CMOS image sensors for high resolution pushbroom hyperspectral cameras. These cameras require a scanning of the scene and therefore introduce operator complexity due to the need for synchronization and alignment of the scanning to the camera. This typically leads to problems with motion blur, reduced SNR in high speed applications and detection latency and overall restricts the types of applications that can use this system. This paper introduces a novel snapshot multispectral imager concept based on optical filters monolithically integrated on top of a standard CMOS image sensor. By using monolithic integration for the dedicated, high quality spectral filters at its core, it enables the use of mass-produced fore-optics, reducing the total system cost. It overcomes the problems mentioned for scanning applications by snapshot acquisition, where an entire multispectral data cube is sensed at one discrete point in time. This is achieved by applying a novel, tiled filter layout and an optical sub-system which simultaneously duplicates the scene onto each filter tile. Through the use of monolithically integrated optical filters it retains the qualities of compactness, low cost and high acquisition speed, differentiating it from other snapshot spectral cameras based on heterogeneously integrated custom optics. Moreover, thanks to a simple cube assembly process, it enables real-time, low-latency operation. Our prototype camera can acquire multispectral image cubes of 256x256 pixels over 32 bands in the spectral range of 600-1000nm at a speed of about 30 cubes per second at daylight conditions up to 340 cubes per second at higher illumination levels as typically used in machine vision applications.

Proceedings Article | 18 December 2012 Paper

Image registration software data correction algorithm for hyperspectral imager

Pradip Mainali, Gauthier Lafruit, Shuyang Liu, Klaas Tack, Bart Masschelein, Luc Van Gool, Rudy Lauwereins

Proceedings Volume 8550, 85501Z (2012) https://doi.org/10.1117/12.980256

KEYWORDS: Image registration, Imaging systems, Hyperspectral imaging, Image quality, Sensors, Data corrections, Image sensors, 3D modeling, Motion models, 3D image processing

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Proceedings Article | 14 February 2012 Paper

Towards a colony counting system using hyperspectral imaging

B. Masschelein, A. Robles-Kelly, C. Blanch, N. Tack, B. Simpson-Young, A. Lambrechts

Proceedings Volume 8225, 822510 (2012) https://doi.org/10.1117/12.908041

KEYWORDS: Bacteria, Reflectivity, Principal component analysis, Microbiology, RGB color model, Hyperspectral imaging, Image processing, Neodymium, Imaging systems, Biological research

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Proceedings Article | 2 February 2012 Paper

A compact, high-speed, and low-cost hyperspectral imager

Nicolaas Tack, Andy Lambrechts, Philippe Soussan, Luc Haspeslagh

Proceedings Volume 8266, 82660Q (2012) https://doi.org/10.1117/12.908172

KEYWORDS: Sensors, Optical filters, Cameras, CMOS sensors, Spectral resolution, Imaging systems, Etching, Hyperspectral imaging, Mirrors, Semiconducting wafers

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Showing 5 of 13 publications

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