An Automated Tool to Analyse 3D Fluorescence Images of Stained Nuclei

Lisa Cuneo; Lisa Cuneo; Francesca Baldini; Francesca Baldini; Marco Castello; Irene Nepita; Simonluca Piazza; Laura Vergani; Alberto Diaspro; Alberto Diaspro

doi:10.1364/FIO.2021.JTh5A.111

Frontiers in Optics + Laser Science 2021
Technical Digest Series (Optica Publishing Group, 2021),
paper JTh5A.111
•https://doi.org/10.1364/FIO.2021.JTh5A.111

An Automated Tool to Analyse 3D Fluorescence Images of Stained Nuclei

Lisa Cuneo, Francesca Baldini, Marco Castello, Irene Nepita, Simonluca Piazza, Laura Vergani, and Alberto Diaspro

Frontiers in Optics 2021

Washington, DC United States
1–4 November 2021
ISBN: 978-1-55752-308-2

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L. Cuneo, F. Baldini, M. Castello, I. Nepita, S. Piazza, L. Vergani, and A. Diaspro, "An Automated Tool to Analyse 3D Fluorescence Images of Stained Nuclei," in Frontiers in Optics + Laser Science 2021, C. Mazzali, T. (T.-C.) Poon, R. Averitt, and R. Kaindl, eds., Technical Digest Series (Optica Publishing Group, 2021), paper JTh5A.111.

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Abstract

We present an automatic and parameter-free tool to segment 3D fluorescence image stacks of stained nuclei and to quantify chromatin compaction, exploiting machine learning algorithms combined with statistical analysis.

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