Digital image analysis has demonstrated to be a very promising tool to promote toxicity testing and advancements in the comprehension of olecular mechanisms underlying toxicity outcomes. Cell and tissue imaging allow quantitative detection and measurement of cellular structures and components including organelles, and is supported by microscopes, digitized cameras, and image analysis algorithms (Xu, 2015). We developed methods of image analysis to improve carcinogenicity testing, as the phenotype can be informative of many underlying mechanisms and pathways of in vitro transformation. We foster the adoption of an integrated approach, where functional assays can be coupled with morphology studies in order to understand mechanisms of toxicity. Our work supports the idea that form follows function.

Image analysis applied to Cell Transformation Assay to advance carcinogenicity testing : morphology evaluation of transformed foci and mitochondria / G. Callegaro, M.A. Villa, F.M. Stefanini, M. Forcella, M. Oldani, P. Melchioretto, P. Fusi, C. Urani. ((Intervento presentato al convegno SIBBM : Frontiers in Molecular Biology : From Single Cells to 3D-Cell Culture tenutosi a Milano nel 2017.

Image analysis applied to Cell Transformation Assay to advance carcinogenicity testing : morphology evaluation of transformed foci and mitochondria

F.M. Stefanini;
2017

Abstract

Digital image analysis has demonstrated to be a very promising tool to promote toxicity testing and advancements in the comprehension of olecular mechanisms underlying toxicity outcomes. Cell and tissue imaging allow quantitative detection and measurement of cellular structures and components including organelles, and is supported by microscopes, digitized cameras, and image analysis algorithms (Xu, 2015). We developed methods of image analysis to improve carcinogenicity testing, as the phenotype can be informative of many underlying mechanisms and pathways of in vitro transformation. We foster the adoption of an integrated approach, where functional assays can be coupled with morphology studies in order to understand mechanisms of toxicity. Our work supports the idea that form follows function.
2017
statistical descriptors; graphical models; Image analysis; CTA; carcinogenicity
Settore SECS-S/01 - Statistica
Società Italiana di Biofisica e Biologia Molecolare
https://sibbm2017.azuleon.org/
Image analysis applied to Cell Transformation Assay to advance carcinogenicity testing : morphology evaluation of transformed foci and mitochondria / G. Callegaro, M.A. Villa, F.M. Stefanini, M. Forcella, M. Oldani, P. Melchioretto, P. Fusi, C. Urani. ((Intervento presentato al convegno SIBBM : Frontiers in Molecular Biology : From Single Cells to 3D-Cell Culture tenutosi a Milano nel 2017.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/834841
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