New technologies in hyperspectral imaging
- Development of imaging spectrographs with submicron spectral resolution.
- Development of snapshot imaging spectrographs.
- Design of MEMS based spectrographic systems.
- Software development based on machine learning and artificial intelligence that allow fast spatial and spectral recognition of objects.
- Hyperspectral imaging is useful for inline sorting and quality control.
In collaboration with
Algae clusters
Hyperspectral imaging allows us to locate areas with a similar spectral response.
Hyperspectral data can be compressed using ML methods without significant loss of spectral attributes.
Optomechanics for multispectral camera
with the image of the measured sample and the spectral response at the crossing point
Hyperspectral camera model
with high spectral resolution and wavelength range 350-1100 nm
Complete hyperspectral imaging system for plant analysis
with the image of the measured sample and the spectral response at the crossing point
Detail of the construction of the hyperspectral spectroscope - CMOS sensor IMX253
with the image of the measured sample and the spectral response at the crossing point
