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

Publikation: Beitrag in FachzeitschriftForschungsartikelBeigetragenBegutachtung

Beitragende

  • Gabriel G. Martins - (Autor:in)
  • Fabrice P. Cordelières - (Autor:in)
  • Julien Colombelli - (Autor:in)
  • Rocco D’Antuono - (Autor:in)
  • Ofra Golani - (Autor:in)
  • Romain Guiet - (Autor:in)
  • Robert Haase - , Exzellenzcluster PoL: Physik des Lebens (Autor:in)
  • Anna H. Klemm - (Autor:in)
  • Marion Louveaux - (Autor:in)
  • Perrine Paul-Gilloteaux - (Autor:in)
  • Jean-Yves Tinevez - (Autor:in)
  • Kota Miura - (Autor:in)

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.

Details

OriginalspracheEnglisch
Aufsatznummer334
FachzeitschriftF1000Research
Jahrgang10
PublikationsstatusVeröffentlicht - 30 Apr. 2021
Peer-Review-StatusJa

Externe IDs

Scopus 85107616278
PubMed 34164115
unpaywall 10.12688/f1000research.25485.1
Mendeley 86eaed30-39a9-3fe7-bb93-669ff5f39c5f

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