A perspective on Microscopy Metadata: data provenance and quality control
Maximiliaan Huisman, Mathias Hammer, Alex Rigano, Ulrike Boehm, James, J. Chambers, Nathalie Gaudreault, Alison J. North, Jaime A. Pimentel, Damir, Sudar, Peter Bajcsy, Claire M. Brown, Alexander D. Corbett, Orestis Faklaris,, Judith Lacoste, Alex Laude, Glyn Nelson

TL;DR
This paper emphasizes the importance of comprehensive microscopy metadata for ensuring data quality, reproducibility, and sharing in biomedical research, and discusses efforts to establish standardized reporting frameworks.
Contribution
It proposes a tiered microscopy metadata framework extending existing models and introduces tools to improve image data documentation and standardization.
Findings
Highlighting the need for standardized microscopy metadata
Development of tiered metadata specifications
Introduction of tools for metadata documentation
Abstract
The application of microscopy in biomedical research has come a long way since Antonie van Leeuwenhoek discovered unicellular organisms. Countless innovations have positioned light microscopy as a cornerstone of modern biology and a method of choice for connecting omics datasets to their biological and clinical correlates. Still, regardless of how convincing published imaging data looks, it does not always convey meaningful information about the conditions in which it was acquired, processed, and analyzed. Adequate record-keeping, reporting, and quality control are therefore essential to ensure experimental rigor and data fidelity, allow experiments to be reproducibly repeated, and promote the proper evaluation, interpretation, comparison, and re-use. To this end, microscopy images should be accompanied by complete descriptions detailing experimental procedures, biological samples,…
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Taxonomy
TopicsCell Image Analysis Techniques · Scientific Computing and Data Management · Research Data Management Practices
