Best practices for reporting throughput in biomedical research

Herbig M, Isozaki A, Di Carlo D, Guck J, Nitta N, Damoiseaux R, Kamikawaji S, Suyama E, Shintaku H, Wu AR, Nikaido I, Goda K (2022)

Publication Type: Journal article

Publication year: 2022

Journal

Nature methods

Book Volume: 19

Pages Range: 633-634

Journal Issue: 6

DOI: 10.1038/s41592-022-01483-6

Authors with CRIS profile

Jochen Guck

Involved external institutions

University of Tokyo JP Japan (JP) Max-Planck-Institut für die Physik des Lichts (MPL) / Max Planck Institute for the Science of Light DE Germany (DE) Hong Kong University of Science and Technology (HKUST) / 香港科技大學 CN China (CN) University of California Los Angeles (UCLA) US United States (USA) (US) Chugai Pharmaceutical Co., Ltd. / 中外製薬株式会社 JP Japan (JP) Riken Institute of Physical and Chemical Research / 理研 JP Japan (JP) CYBO Co., Ltd. JP Japan (JP) RIKEN Center for Biosystems Dynamics Research JP Japan (JP)

How to cite

APA:

Herbig, M., Isozaki, A., Di Carlo, D., Guck, J., Nitta, N., Damoiseaux, R.,... Goda, K. (2022). Best practices for reporting throughput in biomedical research. Nature methods, 19(6), 633-634. https://doi.org/10.1038/s41592-022-01483-6

MLA:

Herbig, Maik, et al. "Best practices for reporting throughput in biomedical research." Nature methods 19.6 (2022): 633-634.

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