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REMBI: Recommended Metadata for Biological Images—enabling reuse of microscopy data in biology

Uğis Sarkans, Wah Chiu, Lucy Collinson, Michele C. Darrow, Jan Ellenberg, David Grünwald, Jean-Karim Hèriché, A. Iudin, Gabriel G. Martins, Terry Meehan, Kedar Narayan, Ardan Patwardhan, Matthew R. G. Russell, Helen R. Saibil, Caterina Strambio‐De‐Castillia, Jason R. Swedlow, Christian Tischer, Virginie Uhlmann, Paul Verkade, Mary Barlow, Omer Ali Bayraktar, Ewan Birney, Cesare Catavitello, Christopher Cawthorne, Stephan Wagner-Conrad, Elizabeth Duke, Perrine Paul‐Gilloteaux, Emmanuel Gustin, Maria Harkiolaki, Pasi Kankaanpää, Thomas Lemberger, Johanna McEntyre, Josh Moore, Andrew W. Nicholls, Shuichi Onami, Helen Parkinson, Maddy Parsons, Marina Romanchikova, Nicholas Sofroniew, Jim Swoger, Nadine Utz, Lenard M. Voortman, Frances Wong, Peijun Zhang, Gerard J. Kleywegt, Alvis Brāzma

2021Nature Methods128 citationsDOIOpen Access PDF

Topics & Concepts

MetadataReuseComputer scienceData scienceWorld Wide WebInformation retrievalBiologyEcologyCell Image Analysis TechniquesSingle-cell and spatial transcriptomicsScientific Computing and Data Management
REMBI: Recommended Metadata for Biological Images—enabling reuse of microscopy data in biology | Litcius