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

Bioimaging data have significant potential for reuse, but unlocking this potential requires systematic archiving of data and metadata in public databases. We propose draft metadata guidelines to begin addressing the needs of diverse communities within light and electron microscopy. We hope this publ...

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Bibliographic Details
Main Authors:	Sarkans, U, Chiu, W, Collinson, L, Darrow, MC, Ellenberg, J, Grunwald, D, Hériché, J-K, Iudin, A, Martins, GG, Meehan, T, Narayan, K, Patwardhan, A, Russell, MRG, Saibil, HR, Strambio-De-Castillia, C, Swedlow, JR, Tischer, C, Uhlmann, V, Verkade, P, Barlow, M, Bayraktar, O, Birney, E, Catavitello, C, Cawthorne, C, Wagner-Conrad, S, Duke, E, Paul-Gilloteaux, P, Gustin, E, Harkiolaki, M, Kankaanpää, P, Lemberger, T, McEntyre, J, Moore, J, Nicholls, AW, Onami, S, Parkinson, H, Parsons, M, Romanchikova, M, Sofroniew, N, Swoger, J, Utz, N, Voortman, LM, Wong, F, Zhang, P, Kleywegt, GJ, Brazma, A
Format:	Journal article
Language:	English
Published:	Springer Nature 2021

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

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