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© Automated cell tracking in a Parhyale hawaiensis embryo. Wolff et al., 2018.
Publication : PLoS computational biology

F-BIAS: Towards a distributed national core facility for bioimage analysis.

Scientific Fields
Diseases
Organisms
Applications
Technique

Published in PLoS computational biology - 01 Jun 2025

Ambroset M, Marie A, Clément B, Arthur M, Aurélien M, Christian R, Guillaume M, Marine B, Marvin A, Gaëlle L, Antonio T, Volker B, Jérôme M, Fabrice C, Thierry P, Minh-Son P, Stéphane R, Magali F, Perrine PG, Anne-Sophie M, Jean-Yves T

Link to Pubmed [PMID] – 40493670

Link to DOI – 10.1371/journal.pcbi.1013058

PLoS Comput Biol 2025 Jun; 21(6): e1013058

We discuss in this article the creation and organization of a national core facility for bioimage analysis, based on a distributed team. F-BIAS federates bioimage analysts across France and relies on them to deliver services to the researchers of this territory. The main challenge in implementing this structure is to ensure significant scientific value to the analysts, thereby encouraging their active participation and persuading their respective host teams to support their involvement. F-BIAS accomplished this by creating a professional network that mitigates the negative effects of isolation experienced by its members, who are often the sole bioimage analyst within their local teams, and fosters the development of their technical skills. In a second phase we capitalized on F-BIAS to create a virtual, remotely-operating core facility for bioimage analysis, offering consultations and collaborative project services to the scientific community of France. The services are organized so that they also contribute to the technical proficiency of the analysts. To promote the creation of similar structures, we present and discuss here the organization of this nationally distributed bioimage analysis service core, highlighting successes and challenges.