Research & publications
Photonics Open Projects builds on peer-reviewed research in compressive and single pixel hyperspectral imaging carried out by our own team before the company was founded. We are glad to list further independent studies using ONE-PIX or PRO-PIX as they are published.
Towards Low-Cost Hyperspectral Single-Pixel Imaging for Plant Phenotyping
Mathieu Ribes, Gaspard Russias, Denis Tregoat, Antoine Fournier
This study, published by the founding team of Photonics Open Projects, describes an affordable hyperspectral imaging prototype built from a modified commercial video projector and a spectrometer. It shows the approach can discriminate plant leaves from their surroundings and identify different health states within individual leaves, the research foundation that ONE-PIX and PRO-PIX are built on.
Single-Pixel-Based Hyperspectral Microscopy
Lisa Uguen, Ronan Piedevache, Gaspard Russias, Sofian Helmer, Denis Tregoat, Stephane Perrin
This study combines single-pixel imaging with reflective-mode optical microscopy to retrieve high-resolution hyperspectral data from micrometer-scale samples, reaching a spatial resolution of 9.0 micrometers and a spectral resolution of 2.1 nanometers in the visible range. A statistical clustering algorithm identifies and classifies the spectral response of targeted regions in inorganic and biological samples.
Spatial-Frequency-Domain Hyperspectral Microscopy
Lisa Uguen, Ronan Piedevache, Gaspard Russias, Sofian Helmer, Antoine Fournier, Denis Tregoat, Stephane Perrin
Presented at SPIE Photonics Europe 2024, this work builds a reflection-mode hyperspectral microscope driven by the ONE-PIX reconstruction algorithm, projecting Hadamard patterns through a microscope objective. It retrieves hyperspectral data on printed circuit boards and biological samples such as algae, sampling spectral information over around 200 bands.
Optique de Fourier et imagerie monopixel : principe de l'imagerie hyperspectrale
Pierre Guillemé
A hands-on lab on Fourier optics and single-pixel imaging, written by Pierre Guillemé for second-year Photonics students at Enssat (Lannion) and created in autumn 2025 after an internship at Photonics Open Projects. Using ONE-PIX, students explore spatial frequencies to link real space and Fourier space, then discover single-pixel and hyperspectral imaging, with Python programs and Jupyter notebooks. The subject (in French) and its source files are hosted on GitHub.