Automatic method for features extraction for images achieved by stimulated Raman scattering microscopy

Nadia Brancati; Annalisa D'Arco; Maria Antonietta Ferrara; Maurizio Indolfi; Vitaliano Tufano; Luigi Sirleto; Maria Frucci

doi:10.1117/12.2266787

16 May 2017 Automatic method for features extraction for images achieved by stimulated Raman scattering microscopy

Nadia Brancati, Annalisa D'Arco, Maria Antonietta Ferrara, Maurizio Indolfi, Vitaliano Tufano, Luigi Sirleto, Maria Frucci

Author Affiliations +

Proceedings Volume 10228, Nonlinear Optics and Applications X; 102281D (2017) https://doi.org/10.1117/12.2266787
Event: SPIE Optics + Optoelectronics, 2017, Prague, Czech Republic

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.

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Nadia Brancati, Annalisa D'Arco, Maria Antonietta Ferrara, Maurizio Indolfi, Vitaliano Tufano, Luigi Sirleto, and Maria Frucci "Automatic method for features extraction for images achieved by stimulated Raman scattering microscopy", Proc. SPIE 10228, Nonlinear Optics and Applications X, 102281D (16 May 2017); https://doi.org/10.1117/12.2266787

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