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:

Part of Czech-BioImaging:

Algae clusters

Hyperspectral imaging allows us to locate areas with a similar spectral response.

Data compression

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

Hyperspectral spectroscope