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Label‐free and non‐invasive discrimination of HaCaT and melanoma cells in a co‐culture model by hyperspectral confocal reflectance microscopy
Author(s) -
Bertani Francesca R.,
Botti Elisabetta,
Ferrari Luisa,
Mussi Valentina,
Costanzo Antonio,
D'Alessandro Marco,
Cilloco Francesco,
Selci Stefano
Publication year - 2016
Publication title -
journal of biophotonics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.877
H-Index - 66
eISSN - 1864-0648
pISSN - 1864-063X
DOI - 10.1002/jbio.201500122
Subject(s) - hyperspectral imaging , hacat , principal component analysis , confocal , confocal microscopy , microscopy , melanoma , biological system , multispectral image , spectral signature , pattern recognition (psychology) , artificial intelligence , optics , cell culture , remote sensing , biology , computer science , physics , genetics , geology
A novel hyperspectral confocal microscopy method to separate different cell populations in a co‐culture model is presented here. The described methodological and instrumental approach allows discrimination of different cell types using a non‐invasive, label free method with good accuracy with a single cell resolution. In particular, melanoma cells are discriminated from HaCaT cells by hyperspectral confocal imaging, principal component analysis and optical frequencies signing, as confirmed by fluorescence labelling cross check. The identification seems to be quite robust to be insensitive to the cellular shape within the studied samples, enabling to separate cells according to their cytotype down to a single cell sensitivity.Set of hyperspectral images of melanoma‐keratinocytes co‐culture model (left), score plot of principal component analysis and spectral analysis of principal components coefficients (center), label‐free spectral identification of cell populations (right).