Hyperspectral imaging solutions for research, innovation and industry.
Photonics Open Projects develops compact, reconfigurable spectral imaging solutions that turn invisible spectral information into actionable data: from ONE-PIX for hands-on research and teaching to PRO-PIX for demanding industrial deployment.
The right spectrum, in the right place, at the right time
Actionable data in near real time, without a hypercube to store.
A targeted, intelligent measurement, in near real time
1
RGB image
View of the scene
One optical chain for both the RGB and the hyperspectral image
2
Ear
Leaf
Stem
Segmentation
Identification of the zones of interest
Algorithm dedicated to your use case
3
Spatial modulation
Only the useful zones are selected
Optical spatial modulator (or equivalent)
4
Resolved spectral measurement
Each zone is analysed with a spectral detector
Spectra measured only on the zones of interest
5
Plant health
Nutrient needs
Yield estimation
Stress detection
Local maps and decisions
Actionable results in near real time
Directly usable indicators
Segmentation masks (ears, leaves, stems) drive the optical spatial modulator, so only the selected zone is measured.VIS/NIR spectral signatures of wheat organsSchematic normalised curves for leaf, ear and stem, from 400 to 1000 nm. They help visualise the spectral differences reported in the literature and do not represent a single experimental measurement.
Ear
Leaf
Stem
Sources: Vergara-Diaz et al. (2020); Bruning et al. (2020).
Advantages of compressed hyperspectral imaging
PRO-PIX does not produce hypercubes, but useful data.
Near real time
Decisions closer to the field
Targeted measurement
Only what is needed is measured
No hypercubes
Less storage, less processing, lower costs
Accessible
Technology designed for field users, with no advanced spectral expertise needed
Application areas
Precision agriculture
Crop health, water stress and phenotyping from field-scale spectral maps.
Food processing
Sorting and quality control based on real spectral signatures, not visual inspection alone.
Geology
Mineral and material discrimination in the field or on the production line.
Health care
Non-invasive tissue and sample analysis built on the same compressive sensing core.
Food and mineral photos: Maksym Kozlenko and JJ Harrison, Wikimedia Commons, CC BY-SA 4.0.
We are delighted to invite you to the third edition of our webinar dedicated to the ONE-PIX single-pixel hyperspectral sensor, on the 27th of November 2026.
Tuesday 27 November 2026 · 07:00 UTC
Join us to discover this year's advances around this open-source unconventional imaging platform, designed for higher education and applied research.