Hyperspectral imaging technology is designed to make images that reveal a maximum of spectral information for each pixel of the image.
Another way of looking at a hyperspectral image is as a set of image layers, each in another wavelength of the electromagnetic spectrum. The combination of those layers is called a hyperspectral data cube.
There are multiple hyperspectral imaging technologies. Each applies different techniques to filter the light and capture the image data. The key differentiators you need to keep an eye on are:
acquisition speed – the time required to capture the hyperspectral data cube
snapshot capability – the ability to acquire a hyperspectral image, without scanning
spatial resolution – the size of the pixel array, similar to regular photography
spectral resolution – the number of frequency bands (or layers) each hyperspectral image contains.
Selecting the required properties is a tradeoff, driven by the requirements of the application. If you know which spectral bands to look for, there’s no need to capture the full spectral range. Especially because a lower resolution will enable faster acquisition speeds and open new possibilities with hyperspectral video imaging.
Imec can assist you in tailoring its hyperspectral imaging technology to your application. For instance, why not use one of our high-resolution evaluation systems to define which frequency bands are relevant for your needs? Afterwards, we can help you to build your dedicated filters or camera system.
Traditional hyperspectral imaging scanners contain a lot of precision optics to select and diffract the light. This makes them relatively heavy, expensive, slow and delicate – with a need for frequent recalibration.
Imec’s hyperspectral imaging technology takes a different approach. As a world-leading R&D hub in nanotechnology, we have developed a wafer-level CMOS process to integrate thin-film spectral filters directly on the pixels of the image sensor.
Our filters eliminate the complex optical camera design and can be deposited on a commercial CMOS imager, like the one in your smartphone or a model with scientific imaging capabilities.
The result is that our hyperspectral image sensors enable imaging systems that are:
capable of operating in video mode
highly customizable
compact
robust to environmental circumstances like shocks and vibrations, which eliminates the need for recalibration
mass-producible and therefore less expensive
This leads to the increased adoption of hyperspectral imaging in a range of applications.
Flexible technology platform for high-res and real-time hyperspectral imaging
Our unique on-chip hyperspectral imaging technology allows us to make different spectral filter patterns. Those fall into two categories:
A mosaic pattern (Bayer-like) on top of a group of 3X3, 4X4 or 5X5 pixels. This enables real-time hyperspectral imaging, which is crucial for every application with a moving camera or ‘target’.
A striped pattern on top of each row of pixels. This results in high-resolution hyperspectral imaging – comparable to so-called linescan or push-broom cameras, only more compact, faster and easier to use.
Hyperspectral sensors
This website offers you an overview of our ready-to-use evaluation kits, including remote support, and the easy-to-use HSI STUDIO, HSI MOSAIC and HSI SNAPSCAN software suites to make hyperspectral imaging accessible to anyone.
Of course, we can also develop custom spectral image sensors, with your desired pattern lay-out, filter specification, imager chip, ... All the way up to the design of the complete camera system.
Tsagkatakis et al. “Graph and Rank Regularized Matrix Recovery for Snapshot Spectral Image Demosaicing”, IEEE Transactions on Computational Imaging, (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)
Gonzalez et al. “An extremely compact and high-speed line-scan hyperspectral imager covering the SWIR range”, Photonic Instrumentation Engineering IV, (2018)
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)
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)
Hypervision Surgical and imec bring real-time AI-enabled spectral imaging to the operating room
04/08/2025
press release
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.
Imec is committed to sharing with you only the type of updates that you find relevant or interesting. That's why we offer you the possibility to sign up for all - or maybe just one or two - imec subjects: