New hyperspectral imaging tool

Menlo Systems’ TERA Image system extension for terahertz (THz) imaging has now been upgraded with the inclusion of EPINA’s ImageLab software for hyperspectral imaging. This processes data from spectroscopic imaging techniques such as THz, optical, UV/VIS, IR, Raman or mass spectrometry. Based on multivariate statistical methods, it enables the user to analyse and classify acquired hyperspectral images and to merge them with maps of physical properties and conventional high-resolution colour photos. The inclusion of ImageLab enables optimal extraction of the spectral information contained in each pixel. ImageLab has a modular architecture which enables it to be customised for particular applications, such as in-depth material analysis of complex samples, chemical component mapping, quality and purity control of industrial goods, or the study of biological tissue.


K-means cluster analysis of a mixture of three different biomolecules, α-lactose, L-tyrosine, L-glutamine. The algorithm uses the significant spectral components of the substances for their identification and localisation.

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