In this paper, a methodology for the analysis of subcellular morphology with chemical specificity, for images obtained by Stimulated Raman Scattering microscopy, is described. In order to detect microstructures inside the cells, a segmentation method based on a threshold algorithm and on a region growing process is proposed. Validation tests on images of polystyrene beads and of on adipocyte cells are reported, demonstrating the feasibility of our approach.

Features extraction for images from stimulated Raman scattering / Brancati, N.; D'Arco, A.; Ferrara, M. A.; Indolfi, M.; Sirleto, L.; Frucci, M.. - CP704(2016). (Intervento presentato al convegno 18th Italian National Conference on Photonic Technologies (Fotonica 2016) tenutosi a Roma) [10.1049/cp.2016.0956].

Features extraction for images from stimulated Raman scattering

D'Arco A.;
2016

Abstract

In this paper, a methodology for the analysis of subcellular morphology with chemical specificity, for images obtained by Stimulated Raman Scattering microscopy, is described. In order to detect microstructures inside the cells, a segmentation method based on a threshold algorithm and on a region growing process is proposed. Validation tests on images of polystyrene beads and of on adipocyte cells are reported, demonstrating the feasibility of our approach.
2016
18th Italian National Conference on Photonic Technologies (Fotonica 2016)
Nonlinear Microscopy; Stimulated Raman Scattering; Image Processing; Segmentation
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Features extraction for images from stimulated Raman scattering / Brancati, N.; D'Arco, A.; Ferrara, M. A.; Indolfi, M.; Sirleto, L.; Frucci, M.. - CP704(2016). (Intervento presentato al convegno 18th Italian National Conference on Photonic Technologies (Fotonica 2016) tenutosi a Roma) [10.1049/cp.2016.0956].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1658147
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