Sarkans, U; Chiu, W; Collinson, L; Darrow, M C; Ellenberg, J; Grunwald, D; Heriche, J K; Iudin, A; Martins, G G; Meehan, T; Narayan, K; Patwardhan, A; Russell, M R G; Saibil, H R; Strambio-de-Castillia, C; Swedlow, J R; Tischer, C; Uhlmann, V; Verkade, P; Barlow, M; Bayraktar, O; Birney, E; Catavitello, C; Cawthorne, C; Wager-Conrad, S; Duke, E; Paul-Gilloteaux, P; Gustin, E; Harkiolaki, M; Kankaanpaa, P; Lemberger, T; McEntyre, J; Moore, J; Nicholls, A W; Onami, S; Parkinson, H; Parsons, M; Romanchikova, M; Sofroniew, N; Swoger, J; Utz, N; Voortman, L M; Wong, F; Zhang, P J; Kleywegt, G J; Brazma, A (2021) REMBI: Recommended Metadata for Biological Images-enabling reuse of microscopy data in biology. Nature Methods, 18. pp. 1418-1422.

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Item Type:	Article
Subjects:	Mathematics and Scientific Computing > Software Support for Metrology
Divisions:	Data Science
Identification number/DOI:	10.1038/s41592-021-01166-8
Last Modified:	16 Mar 2022 14:05
URI:	https://eprintspublications.npl.co.uk/id/eprint/9375