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

关键词：

D O I：

暂无

中图分类号：

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.

引用

页码：1463 / 1476

页数：13

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