YOUPI: Your powerful and intelligent tool for segmenting cells from imaging mass cytometry data.
U-NET
cell segmentation
images
imaging mass cytometry
new algorithm
Journal
Frontiers in immunology
ISSN: 1664-3224
Titre abrégé: Front Immunol
Pays: Switzerland
ID NLM: 101560960
Informations de publication
Date de publication:
2023
2023
Historique:
received:
18
10
2022
accepted:
13
02
2023
entrez:
20
3
2023
pubmed:
21
3
2023
medline:
22
3
2023
Statut:
epublish
Résumé
The recent emergence of imaging mass cytometry technology has led to the generation of an increasing amount of high-dimensional data and, with it, the need for suitable performant bioinformatics tools dedicated to specific multiparametric studies. The first and most important step in treating the acquired images is the ability to perform highly efficient cell segmentation for subsequent analyses. In this context, we developed YOUPI (Your Powerful and Intelligent tool) software. It combines advanced segmentation techniques based on deep learning algorithms with a friendly graphical user interface for non-bioinformatics users. In this article, we present the segmentation algorithm developed for YOUPI. We have set a benchmark with mathematics-based segmentation approaches to estimate its robustness in segmenting different tissue biopsies.
Identifiants
pubmed: 36936977
doi: 10.3389/fimmu.2023.1072118
pmc: PMC10019895
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
1072118Informations de copyright
Copyright © 2023 Scuiller, Hemon, Le Rochais, Pers, Jamin and Foulquier.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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