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Reproducible image handling and analysis
Kota Miura1,2, Simon F Nørrelykke1,3
1The Network of European Bioimage Analysts (NEUBIAS).
The EMBO Journal
|January 22, 2021
Summary
Reproducible image analysis reporting is crucial in life sciences. Implementing new norms for describing image processing and analysis ensures data integrity and aids interpretation in research papers.
Area of Science:
- Life Sciences
- Bioimaging
- Scientific Research
Background:
- Image data is fundamental in life sciences research.
- Improper handling of image data is prevalent, compromising interpretation.
- Current reporting standards lack precision in image processing and analysis descriptions.
Purpose of the Study:
- To propose a new norm for reporting reproducible image analyses.
- To address the issue of mishandled image data in research publications.
- To provide guidance for publishing reproducible image data processing and analysis workflows.
Main Methods:
- Discussing the effectiveness of a new norm for reporting image analysis.
- Providing step-by-step instructions for reproducible image data processing and analysis.
- Highlighting the role of co-authors, referees, and journals in promoting the norm.
Main Results:
- A precise description of image processing and analysis is required.
- A new norm for reporting reproducible image analyses can diminish mishandling.
- The proposed norm alerts stakeholders to aberrant image data processing.
Conclusions:
- Implementing reproducible image analysis reporting norms enhances data integrity.
- Clear documentation of image processing aids in accurate interpretation.
- Adoption of these norms will improve the reliability of life sciences research.
