Community-developed checklists for publishing images and image analyses
Research output: Contribution to journal › Research article › Contributed › peer-review
Contributors
- Human Technopole
- University of Wisconsin-Madison
- Radboud University Nijmegen
- Pontificia Universidad Católica de Chile
- Osaka University
- Euro-BioImaging ERIC
- Carl Zeiss AG
- BioVoxxel
- Dynetics Inc.
- Heidelberg University
- Broad Institute of Harvard University and MIT
- University of Porto
- Queensland University of Technology
- TissueGnostics GmbH
- University of Gothenburg
- Allen Institute for Cell Science
- Novartis AG
- University of Massachusetts Medical School
- University of Oklahoma
- CRG - Centre for Genomic Regulation
- University of Liverpool (UOL)
- Kapoor Labs
- University of Texas MD Anderson Cancer Center
- University of Montreal
- Leiden University
- Karolinska Institutet
- China Jiliang University
- Instituto Gulbenkian de Ciência
- Harvard University
- University of Freiburg
- Rockefeller University
- Baker Heart Research Institute
- University of York
- Max Planck Institute of Molecular Cell Biology and Genetics
- ariadne.ai GmbH
- Swiss Federal Institute of Technology Lausanne (EPFL)
Abstract
Images document scientific discoveries and are prevalent in modern biomedical research. Microscopy imaging in particular is currently undergoing rapid technological advancements. However, for scientists wishing to publish obtained images and image-analysis results, there are currently no unified guidelines for best practices. Consequently, microscopy images and image data in publications may be unclear or difficult to interpret. Here, we present community-developed checklists for preparing light microscopy images and describing image analyses for publications. These checklists offer authors, readers and publishers key recommendations for image formatting and annotation, color selection, data availability and reporting image-analysis workflows. The goal of our guidelines is to increase the clarity and reproducibility of image figures and thereby to heighten the quality and explanatory power of microscopy data.
Details
| Original language | English |
|---|---|
| Pages (from-to) | 170-181 |
| Number of pages | 12 |
| Journal | Nature methods |
| Volume | 21 |
| Issue number | 2 |
| Publication status | Published - Feb 2024 |
| Peer-reviewed | Yes |
External IDs
| PubMed | 37710020 |
|---|