/Publications & events

Publications & events

Want to dive deeper into the details of imec’s hyperspectral imaging technology? Read one of the relevant publications. Or meet us at one of the many (virtual and real-life) events we attend around the globe.

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Calendar

Scientific publications

Webinars

Press releases

Calendar

Scientific publications

Webinars

Press releases

Scientific publications

Are you curious to check the scientific credentials of imec’s hyperspectral technology and what it can achieve? Feel free to browse through a selection of publications from our researchers and from external researchers who have used our camera systems.

Scientific publications (co-)authored by imec researchers

Blanch-Perez-del-Notario et al. “Hyperspectral imaging for textile sorting in the visible–near infrared range”, Journal of Spectral Imaging, (2019)

Goossens et al. “Vignetted-aperture correction for spectral cameras with integrated thin-film Fabry–Perot filters”, Applied Optics, (2019)

Tsagkatakis et al. “Graph and Rank Regularized Matrix Recovery for Snapshot Spectral Image Demosaicing”, IEEE Transactions on Computational Imaging, (2019)

Driggers et al. “Burmese python target reflectivity compared to natural Florida foliage background reflectivity”, Applied Optics, (2019)

Blanch-Perez-del-Notario et al. “Convolutional Neural Networks For Heterogeneous Ingredient Discrimination With Hyperspectral Imaging”, 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), (2019)

Goossens et al. “Spectral Shift Correction for Fabry-Perot Based Spectral Cameras”, 10th Workshop on Hyperspectral Imaging and Signal Processing: Evolution in Remote Sensing (WHISPERS), (2019)

Blommaert et al. “CSIMBA: Towards a Smart-Spectral Cubesat Constellation”, IEEE International Geoscience and Remote Sensing Symposium, (2019)

Goossens et al. “Finite aperture correction for spectral cameras with integrated thin-film Fabry–Perot filters”, Applied Optics, (2018)

Karni et al. “Spatial and spectral filtering on focal plane arrays”, Infrared Technology and Applications XLIV, (2018)

Gonzalez et al. “An extremely compact and high-speed line-scan hyperspectral imager covering the SWIR range”, Photonic Instrumentation Engineering IV, (2018)

Pichette et al. “Fast and compact internal scanning CMOS-based hyperspectral camera: the Snapscan”, Image Sensing Technologies: Materials, Devices, Systems, and Applications V, (2017)

Geelen et al. “System-level analysis and design for RGB-NIR CMOS camera”, Photonic Instrumentation Engineering IV, (2017)

Pichette et al. “Hyperspectral calibration method For CMOS-based hyperspectral sensors”, Photonic Instrumentation Engineering IV, (2017)

Gonzalez et al. “A novel CMOS-compatible, monolithically integrated line-scan hyperspectral imager covering the VIS-NIR range”, Next-generation Spectroscopic Technologies IX, (2016)

Spooren et al. “RGB-NIR Active Gated Imaging”, Electro-optical and Infrared Systems: Technology and Applications XIII, (2016)

Geelen et al. “A tiny VIS-NIR snapshot multispectral camera”, Advanced Fabrication Technologies for Micro/Nano Optics and Photonics VIII, (2015)

Vereecke et al. “Quantum efficiency and dark current evaluation of a backside illuminated CMOS image sensor”, Japanese Journal of Applied Physics, (2015)

Geelen et al. “A compact snapshot multispectral imager with a monolithically integrated per-pixel filter mosaic”, Advanced Fabrication Technologies for Micro/Nano Optics and Photonics VII, (2014)

Lambrechts et al. “A CMOS-compatible, integrated approach to hyper- and multispectral imaging”, IEEE International Electron Devices Meeting, (2014)

Mainali et al. “Derivative-Based Scale Invariant Image Feature Detector With Error Resilience”, IEEE Transactions on Image Processing, (2014)

Sima et al. “Spatially variable filters — Expanding the spectral dimension of compact cameras for remotely piloted aircraft systems”, IEEE Geoscience and Remote Sensing Symposium, (2014)

Serruys et al. “Linear variable filters — A camera system requirement analysis for hyperspectral imaging sensors onboard small Remotely Piloted Aircraft Systems”, (2014)

Geelen et al. “A snapshot multispectral imager with integrated tiled filters and optical duplication”, Advanced Fabrication Technologies for Micro/Nano Optics and Photonics VI, (2013)

Geelen et al. “Low-complexity image processing for a high-throughput low-latency snapshot multispectral imager with integrated tiled filters”, (2013)

Lambrechts, “Snapshot multispectral camera uses tiled filter arrays”, Laser Focus World, (2013)

Geelen et al. “New Multi- and Hyperspectral Cameras Cover Diverse Applications”, Photonics Spectra, (2013)

Parton et al. “Interdisciplinarity takes imagers to a higher level”, Solid State Technology, (2013)

Tack et al. “A compact, high-speed, and low-cost hyperspectral imager”, Silicon Photonics VII, (2012)

Mainali et al. “Image registration software data correction algorithm for hyperspectral imager”, Optical Systems Design, (2012)

Lambrechts et al. “CMOS takes hyperspectral imaging beyond the laboratory”, Laser Focus World, (2011)

Scientific publications on research using imec technology

Wirkert “Multispectral image analysis in laparoscopy – A machine learning approach to live perfusion monitoring”, dissertation KIT-Fakultät für Informatik, (2018)

Luthman et al. “Fluorescence hyperspectral imaging (fHSI) using a spectrally resolved detector array”, Biophotonics, (2017)

Ewerlöf et al. “Spatial and temporal skin blood volume and saturation estimation using a multispectral snapshot imaging camera”, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues XV, (2017)

Pichette et al. “Intraoperative video-rate hemodynamic response assessment in human cortex using snapshot hyperspectral optical imaging”, Neurophotonics, (2016)

Kaluzny et al. “Bayer Filter Snapshot Hyperspectral Fundus Camera for Human Retinal Imaging”, Current Eye Research, (2016)

Baeck et al. “High resolution vegetation mapping with a novel compact hyperspectral camera system”, 13th International Conference on Precision Agriculture, (2016)

Webinars

Tutorial: how on-chip filter technology enables compact, high-resolution and video-rate hyperspectral cameras
Learn what makes imec’s technology unique and which applications it enables.
Watch
Introduction to hyperspectral imaging
Wouter Charle gives you a crash course into hyperspectral imaging and its business possibilities.
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High-fidelity spectral radiance and reflectance imaging outside the lab
Kathleen Vunckx explains how imec’s hyperspectral software contains a data-processing pipeline that enables you to acquire reliable spectral images and videos in all circumstances.
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35min to fly a Hyperspectral snapshot drone camera
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VIS-SWIR low swap-c spectral imaging for remote sensing - introduction and demonstration presented
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