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.
Calendar
Whispers 2026
Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing
View eventScientific 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)
External linkGoossens et al. “Vignetted-aperture correction for spectral cameras with integrated thin-film Fabry–Perot filters”, Applied Optics, (2019)
External linkTsagkatakis et al. “Graph and Rank Regularized Matrix Recovery for Snapshot Spectral Image Demosaicing”, IEEE Transactions on Computational Imaging, (2019)
External linkDriggers et al. “Burmese python target reflectivity compared to natural Florida foliage background reflectivity”, Applied Optics, (2019)
External linkBlanch-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)
External linkGoossens 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)
External linkBlommaert et al. “CSIMBA: Towards a Smart-Spectral Cubesat Constellation”, IEEE International Geoscience and Remote Sensing Symposium, (2019)
External linkGoossens et al. “Finite aperture correction for spectral cameras with integrated thin-film Fabry–Perot filters”, Applied Optics, (2018)
External linkKarni et al. “Spatial and spectral filtering on focal plane arrays”, Infrared Technology and Applications XLIV, (2018)
External linkGonzalez et al. “An extremely compact and high-speed line-scan hyperspectral imager covering the SWIR range”, Photonic Instrumentation Engineering IV, (2018)
External linkPichette et al. “Fast and compact internal scanning CMOS-based hyperspectral camera: the Snapscan”, Image Sensing Technologies: Materials, Devices, Systems, and Applications V, (2017)
External linkGeelen et al. “System-level analysis and design for RGB-NIR CMOS camera”, Photonic Instrumentation Engineering IV, (2017)
External linkPichette et al. “Hyperspectral calibration method For CMOS-based hyperspectral sensors”, Photonic Instrumentation Engineering IV, (2017)
External linkGonzalez et al. “A novel CMOS-compatible, monolithically integrated line-scan hyperspectral imager covering the VIS-NIR range”, Next-generation Spectroscopic Technologies IX, (2016)
External linkSpooren et al. “RGB-NIR Active Gated Imaging”, Electro-optical and Infrared Systems: Technology and Applications XIII, (2016)
External linkGeelen et al. “A tiny VIS-NIR snapshot multispectral camera”, Advanced Fabrication Technologies for Micro/Nano Optics and Photonics VIII, (2015)
External linkVereecke et al. “Quantum efficiency and dark current evaluation of a backside illuminated CMOS image sensor”, Japanese Journal of Applied Physics, (2015)
External linkGeelen 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)
External linkLambrechts et al. “A CMOS-compatible, integrated approach to hyper- and multispectral imaging”, IEEE International Electron Devices Meeting, (2014)
External linkMainali et al. “Derivative-Based Scale Invariant Image Feature Detector With Error Resilience”, IEEE Transactions on Image Processing, (2014)
External linkSima et al. “Spatially variable filters — Expanding the spectral dimension of compact cameras for remotely piloted aircraft systems”, IEEE Geoscience and Remote Sensing Symposium, (2014)
External linkSerruys et al. “Linear variable filters — A camera system requirement analysis for hyperspectral imaging sensors onboard small Remotely Piloted Aircraft Systems”, (2014)
External linkGeelen et al. “A snapshot multispectral imager with integrated tiled filters and optical duplication”, Advanced Fabrication Technologies for Micro/Nano Optics and Photonics VI, (2013)
External linkGeelen et al. “Low-complexity image processing for a high-throughput low-latency snapshot multispectral imager with integrated tiled filters”, (2013)
External linkLambrechts, “Snapshot multispectral camera uses tiled filter arrays”, Laser Focus World, (2013)
External linkGeelen et al. “New Multi- and Hyperspectral Cameras Cover Diverse Applications”, Photonics Spectra, (2013)
External linkParton et al. “Interdisciplinarity takes imagers to a higher level”, Solid State Technology, (2013)
External linkTack et al. “A compact, high-speed, and low-cost hyperspectral imager”, Silicon Photonics VII, (2012)
External linkMainali et al. “Image registration software data correction algorithm for hyperspectral imager”, Optical Systems Design, (2012)
External linkLambrechts et al. “CMOS takes hyperspectral imaging beyond the laboratory”, Laser Focus World, (2011)
External linkScientific publications on research using imec technology
De Winne et al. "Multispectral indices for real-time and non-invasive tissue ischemia monitoring using snapshot cameras", Biomedical Optics Express, (2024)
External linkWirkert “Multispectral image analysis in laparoscopy – A machine learning approach to live perfusion monitoring”, dissertation KIT-Fakultät für Informatik, (2018)
External linkLuthman et al. “Fluorescence hyperspectral imaging (fHSI) using a spectrally resolved detector array”, Biophotonics, (2017)
External linkEwerlöf 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)
External linkPichette et al. “Intraoperative video-rate hemodynamic response assessment in human cortex using snapshot hyperspectral optical imaging”, Neurophotonics, (2016)
External linkKaluzny et al. “Bayer Filter Snapshot Hyperspectral Fundus Camera for Human Retinal Imaging”, Current Eye Research, (2016)
External linkBaeck et al. “High resolution vegetation mapping with a novel compact hyperspectral camera system”, 13th International Conference on Precision Agriculture, (2016)
External linkWebinars
- How on-chip SWIR spectral imaging advances your business
Watch - 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.
Watch - 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.
Watch - 35min to fly a Hyperspectral snapshot drone camera
Watch - VIS-SWIR low swap-c spectral imaging for remote sensing - introduction and demonstration presented
Watch
Press releases
Hypervision Surgical and imec bring real-time AI-enabled spectral imaging to the operating room
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IPERLITE mission launch marks new era in hyperspectral earth observation, with imec technology onboard
Read moreHypervision Surgical and imec bring real-time AI-enabled spectral imaging to the operating room
By combining real-time AI analytics with video rate on-chip hyperspectral imaging, Hypervision is delivering the first clinically approved platform that gives surgeons live, tissue-level insights for assisted surgery. Imec’s on-chip spectral technology is a cornerstone of this innovation.
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New sensor for spectral imaging from space
For earth observation with high signal-to-noise ratio
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