Highlights from the 2016-2020 NEUBIAS training schools for Bioimage Analysts: a success story and key asset for analysts and life scientists

F1000Res. 2021 Apr 30:10:334. doi: 10.12688/f1000research.25485.1. eCollection 2021.

Abstract

NEUBIAS, the European Network of Bioimage Analysts, was created in 2016 with the goal of improving the communication and the knowledge transfer among the various stakeholders involved in the acquisition, processing and analysis of biological image data, and to promote the establishment and recognition of the profession of Bioimage Analyst. One of the most successful initiatives of the NEUBIAS programme was its series of 15 training schools, which trained over 400 new Bioimage Analysts, coming from over 40 countries. Here we outline the rationale behind the innovative three-level program of the schools, the curriculum, the trainer recruitment and turnover strategy, the outcomes for the community and the career path of analysts, including some success stories. We discuss the future of the materials created during this programme and some of the new initiatives emanating from the community of NEUBIAS-trained analysts, such as the NEUBIAS Academy. Overall, we elaborate on how this training programme played a key role in collectively leveraging Bioimaging and Life Science research by bringing the latest innovations into structured, frequent and intensive training activities, and on why we believe this should become a model to further develop in Life Sciences.

Keywords: Analyst school; NEUBIAS; analyst; bioimage analysis; training materials; training schools; workshop.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biological Science Disciplines*
  • Curriculum
  • Schools*

Grants and funding

NEUBIAS TSs were made possible through COST (European Cooperation in Science and Technology) Action NEUBIAS (CA15124). Some TS were further supported by the Swedish Foundation for Strategic Research (RIF14-0079), the Swedish National Microscopy infrastructure (VR-RFI 2019-00217) and the Luxembourg National Research Fund (project RESCOM/17/11762506). RH acknowledges support by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy - EXC2068 - Cluster of Excellence Physics of Life of TU Dresden. FPC, PPG, JYT, ML acknowledge France-BioImaging infrastructure supported by the French BioImaging national infrastructure (ANR-10-INBS-04). GGM is funded by Fundação para a Ciência e Tecnologia (Portugal), through grants PPBI-POCI-01-0145-FEDER-022122 (co-financed by Lisboa Regional Operational Programme Lisboa 2020, and the Portugal 2020 Partnership Agreement, through the European Regional Development Fund -FEDER) and FCT grant 02/SAICT/2017. GGM is a member of the Portuguese Platform for Bioimaging – PPBI. RD’A works at the Francis Crick Institute which receives its core funding from Cancer Research UK (FC001999), the UK Medical Research Council (FC001999), and the Wellcome Trust (FC001999).