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Proceedings Paper

Automatic method for features extraction for images achieved by stimulated Raman scattering microscopy
Author(s): Nadia Brancati; Annalisa D'Arco; Maria Antonietta Ferrara; Maurizio Indolfi; Vitaliano Tufano; Luigi Sirleto; Maria Frucci
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Paper Abstract

In the present work, a methodology for the analysis of subcellular morphology with chemical specificity for images from Stimulated Raman Scattering is suggested. In particular, a segmentation method based on a threshold algorithm and on a region growing process, to detect microstructures inside the cells, is proposed. Moreover, quantitative features for the segmented objects are extracted, in order to provide information about the possible morphological variations of microstructures in images acquired by means SRS technique.

Paper Details

Date Published: 16 May 2017
PDF: 8 pages
Proc. SPIE 10228, Nonlinear Optics and Applications X, 102281D (16 May 2017); doi: 10.1117/12.2266787
Show Author Affiliations
Nadia Brancati, Consiglio Nazionale delle Ricerche (Italy)
Annalisa D'Arco, Consiglio Nazionale delle Ricerche (Italy)
Maria Antonietta Ferrara, Consiglio Nazionale delle Ricerche (Italy)
Maurizio Indolfi, Consiglio Nazionale delle Ricerche (Italy)
Vitaliano Tufano, Consiglio Nazionale delle Ricerche (Italy)
Luigi Sirleto, Consiglio Nazionale delle Ricerche (Italy)
Maria Frucci, Consiglio Nazionale delle Ricerche (Italy)


Published in SPIE Proceedings Vol. 10228:
Nonlinear Optics and Applications X
Mario Bertolotti; Joseph W. Haus; Alexei M. Zheltikov, Editor(s)

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