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

N Brancati;M Indolfi;L Sirleto;M Frucci
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
Istituto di Calcolo e Reti ad Alte Prestazioni - ICAR
Istituto per la Microelettronica e Microsistemi - IMM
978-1-78561-268-8
Nonlinear microscopy
Stimulated Raman scattering
Image Processing
Segmentation
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/316494
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