Best practices and tools for reporting reproducible fluorescence microscopy methods

被引:0
|
作者
Paula Montero Llopis
Rebecca A. Senft
Tim J. Ross-Elliott
Ryan Stephansky
Daniel P. Keeley
Preman Koshar
Guillermo Marqués
Ya-Sheng Gao
Benjamin R. Carlson
Thomas Pengo
Mark A. Sanders
Lisa A. Cameron
Michelle S. Itano
机构
[1] Harvard Medical School,MicRoN Core
[2] Blavatnik Institute,Department of Genetics
[3] Harvard Medical School,Neuroscience Microscopy Core
[4] University of North Carolina,University Imaging Centers and Department of Neuroscience
[5] University of Minnesota,Duke Light Microscopy Core Facility
[6] Duke University,University of Minnesota Informatics Institute
[7] University of Minnesota,undefined
来源
Nature Methods | 2021年 / 18卷
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学科分类号
摘要
Although fluorescence microscopy is ubiquitous in biomedical research, microscopy methods reporting is inconsistent and perhaps undervalued. We emphasize the importance of appropriate microscopy methods reporting and seek to educate researchers about how microscopy metadata impact data interpretation. We provide comprehensive guidelines and resources to enable accurate reporting for the most common fluorescence light microscopy modalities. We aim to improve microscopy reporting, thus improving the quality, rigor and reproducibility of image-based science.
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页码:1463 / 1476
页数:13
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