Ambroset Mélodie, Marie Anselmet, Clément Benedetti, Arthur Meslin, Aurélien Maillot, Christian Rouvière, Guillaume Maucort, Marine Breuilly, Marvin Albert, Gaëlle Letort, Antonio Trullo, Volker Bäcker, Jérôme Mutterer, Fabrice Cordelières, Thierry Pécot, Minh-Son Phan, Stéphane Rigaud, Magali Feyeux, Perrine Paul-Gilloteaux, Anne-Sophie Macé, Jean-Yves Tinevez
Nantes Université, CHU Nantes, CNRS, INSERM, BioCore, US16, SFR Bonamy, Nantes, France.
Institut Pasteur, Université Paris Cité, Image Analysis Hub (IAH), Paris, France.
PLoS Comput Biol. 2025 Jun 10;21(6):e1013058. doi: 10.1371/journal.pcbi.1013058. eCollection 2025 Jun.
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.
在本文中,我们讨论了基于分布式团队创建和组织一个国家生物图像分析核心设施的问题。F-BIAS联合了法国各地的生物图像分析师,并依靠他们为该地区的研究人员提供服务。实施这种结构的主要挑战在于确保对分析师具有重大的科学价值,从而鼓励他们积极参与,并说服他们各自的所在团队支持他们的参与。F-BIAS通过创建一个专业网络来实现这一点,该网络减轻了其成员所经历的孤立的负面影响,这些成员通常是其当地团队中唯一的生物图像分析师,并促进了他们技术技能的发展。在第二阶段,我们利用F-BIAS创建了一个虚拟的、远程操作的生物图像分析核心设施,为法国科学界提供咨询和协作项目服务。这些服务的组织方式也有助于提高分析师的技术水平。为了促进类似结构的创建,我们在此介绍和讨论这个全国性分布式生物图像分析服务核心的组织情况,突出成功之处和挑战。