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Subcellular chemical and morphological analysis by stimulated Raman scattering microscopy and image analysis techniques

The visualization of heterogeneous morphology, segmentation and quantification of image features is a crucial point for nonlinear optics microscopy applications, spanning from imaging of living cells or tissues to biomedical diagnostic. In this paper, a methodology combining stimulated Raman scatter...

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Detalles Bibliográficos
Autores principales: D’Arco, Annalisa, Brancati, Nadia, Ferrara, Maria Antonietta, Indolfi, Maurizio, Frucci, Maria, Sirleto, Luigi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Optical Society of America 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4871086/
https://www.ncbi.nlm.nih.gov/pubmed/27231626
http://dx.doi.org/10.1364/BOE.7.001853
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author D’Arco, Annalisa
Brancati, Nadia
Ferrara, Maria Antonietta
Indolfi, Maurizio
Frucci, Maria
Sirleto, Luigi
author_facet D’Arco, Annalisa
Brancati, Nadia
Ferrara, Maria Antonietta
Indolfi, Maurizio
Frucci, Maria
Sirleto, Luigi
author_sort D’Arco, Annalisa
collection PubMed
description The visualization of heterogeneous morphology, segmentation and quantification of image features is a crucial point for nonlinear optics microscopy applications, spanning from imaging of living cells or tissues to biomedical diagnostic. In this paper, a methodology combining stimulated Raman scattering microscopy and image analysis technique is presented. The basic idea is to join the potential of vibrational contrast of stimulated Raman scattering and the strength of imaging analysis technique in order to delineate subcellular morphology with chemical specificity. Validation tests on label free imaging of polystyrene-beads and of adipocyte cells are reported and discussed.
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spelling pubmed-48710862016-05-26 Subcellular chemical and morphological analysis by stimulated Raman scattering microscopy and image analysis techniques D’Arco, Annalisa Brancati, Nadia Ferrara, Maria Antonietta Indolfi, Maurizio Frucci, Maria Sirleto, Luigi Biomed Opt Express Article The visualization of heterogeneous morphology, segmentation and quantification of image features is a crucial point for nonlinear optics microscopy applications, spanning from imaging of living cells or tissues to biomedical diagnostic. In this paper, a methodology combining stimulated Raman scattering microscopy and image analysis technique is presented. The basic idea is to join the potential of vibrational contrast of stimulated Raman scattering and the strength of imaging analysis technique in order to delineate subcellular morphology with chemical specificity. Validation tests on label free imaging of polystyrene-beads and of adipocyte cells are reported and discussed. Optical Society of America 2016-04-15 /pmc/articles/PMC4871086/ /pubmed/27231626 http://dx.doi.org/10.1364/BOE.7.001853 Text en © 2016 Optical Society of America
spellingShingle Article
D’Arco, Annalisa
Brancati, Nadia
Ferrara, Maria Antonietta
Indolfi, Maurizio
Frucci, Maria
Sirleto, Luigi
Subcellular chemical and morphological analysis by stimulated Raman scattering microscopy and image analysis techniques
title Subcellular chemical and morphological analysis by stimulated Raman scattering microscopy and image analysis techniques
title_full Subcellular chemical and morphological analysis by stimulated Raman scattering microscopy and image analysis techniques
title_fullStr Subcellular chemical and morphological analysis by stimulated Raman scattering microscopy and image analysis techniques
title_full_unstemmed Subcellular chemical and morphological analysis by stimulated Raman scattering microscopy and image analysis techniques
title_short Subcellular chemical and morphological analysis by stimulated Raman scattering microscopy and image analysis techniques
title_sort subcellular chemical and morphological analysis by stimulated raman scattering microscopy and image analysis techniques
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4871086/
https://www.ncbi.nlm.nih.gov/pubmed/27231626
http://dx.doi.org/10.1364/BOE.7.001853
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