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Protocol for automated multivariate quantitative-image-based cytometry analysis by fluorescence microscopy of asynchronous adherent cells.

Authors :
Besse L
Rumiac T
Reynaud-Angelin A
Messaoudi C
Soler MN
Lambert SAE
Pennaneach V
Source :
STAR protocols [STAR Protoc] 2023 Sep 15; Vol. 4 (3), pp. 102446. Date of Electronic Publication: 2023 Jul 13.
Publication Year :
2023

Abstract

Here, we present a protocol for multivariate quantitative-image-based cytometry (QIBC) analysis by fluorescence microscopy of asynchronous adherent cells. We describe steps for the preparation, treatment, and fixation of cells, sample staining, and imaging for QIBC. We then detail image analysis with our open source Fiji script developed for QIBC and present multiparametric data visualization. Our QIBC Fiji script integrates modern artificial-intelligence-based tools, applying deep learning, for robust automated nuclei segmentation with minimal user adjustments, a major asset for efficient QIBC analysis. For complete details on the use and execution of this protocol, please refer to Besse et al. (2023). <superscript>1</superscript> .<br />Competing Interests: Declaration of interests The authors declare no competing interests.<br /> (Copyright © 2023 The Author(s). Published by Elsevier Inc. All rights reserved.)

Details

Language :
English
ISSN :
2666-1667
Volume :
4
Issue :
3
Database :
MEDLINE
Journal :
STAR protocols
Publication Type :
Academic Journal
Accession number :
37453067
Full Text :
https://doi.org/10.1016/j.xpro.2023.102446