Literature DB >> 26375607

Label-free and non-invasive discrimination of HaCaT and melanoma cells in a co-culture model by hyperspectral confocal reflectance microscopy.

Francesca R Bertani1, Elisabetta Botti2, Luisa Ferrari1, Valentina Mussi1, Antonio Costanzo2, Marco D'Alessandro1, Francesco Cilloco1, Stefano Selci3.   

Abstract

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).
© 2015 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  hyperspectral microscopy; melanoma cells HaCaT cells co-culture; multivariate analysis

Mesh:

Year:  2015        PMID: 26375607     DOI: 10.1002/jbio.201500122

Source DB:  PubMed          Journal:  J Biophotonics        ISSN: 1864-063X            Impact factor:   3.207


  2 in total

1.  Classification of M1/M2-polarized human macrophages by label-free hyperspectral reflectance confocal microscopy and multivariate analysis.

Authors:  Francesca R Bertani; Pamela Mozetic; Marco Fioramonti; Michele Iuliani; Giulia Ribelli; Francesco Pantano; Daniele Santini; Giuseppe Tonini; Marcella Trombetta; Luca Businaro; Stefano Selci; Alberto Rainer
Journal:  Sci Rep       Date:  2017-08-21       Impact factor: 4.379

2.  Label-free classification of neurons and glia in neural stem cell cultures using a hyperspectral imaging microscopy combined with machine learning.

Authors:  Hiroshi Ogi; Sanzo Moriwaki; Masahiko Kokubo; Yuichiro Hikida; Kyoko Itoh
Journal:  Sci Rep       Date:  2019-01-24       Impact factor: 4.379

  2 in total

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