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Making the most of bioimaging data through interdisciplinary interactions

Uhlmann, Virginie; Hartley, Matthew; Moore, Josh; Weisbart, Erin; Zaritsky, Assaf (2024). Making the most of bioimaging data through interdisciplinary interactions. Journal of Cell Science, 137(20):jcs262139.

Abstract

The increasing technical complexity of all aspects involving bioimages, ranging from their acquisition to their analysis, has led to a diversification in the expertise of scientists engaged at the different stages of the discovery process. Although this diversity of profiles comes with the major challenge of establishing fruitful interdisciplinary collaboration, such collaboration also offers a superb opportunity for scientific discovery. In this Perspective, we review the different actors within the bioimaging research universe and identify the primary obstacles that hinder their interactions. We advocate that data sharing, which lies at the heart of innovation, is finally within reach after decades of being viewed as next to impossible in bioimaging. Building on recent community efforts, we propose actions to consolidate the development of a truly interdisciplinary bioimaging culture based on open data exchange and highlight the promising outlook of bioimaging as an example of multidisciplinary scientific endeavour.

Additional indexing

Item Type:Journal Article, refereed, further contribution
Communities & Collections:07 Faculty of Science > Institute of Molecular Life Sciences
Dewey Decimal Classification:570 Life sciences; biology
Scopus Subject Areas:Life Sciences > Cell Biology
Language:English
Date:15 October 2024
Deposited On:20 Jan 2025 18:10
Last Modified:30 Jun 2025 02:07
Publisher:The Company of Biologists
ISSN:0021-9533
OA Status:Hybrid
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.1242/jcs.262139
PubMed ID:39440474
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  • Funder: Council for Higher Education
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  • Funder: Ministry of Science and Technology
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  • Funder: Wellcome Leap Delta Tissue
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  • Funder: German-Israeli Foundation
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  • Funder: Rosetrees Trust
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  • Funder: European Molecular Biology Laboratory
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  • Content: Published Version
  • Language: English
  • Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)

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