Image Integrity & Standards
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Why Image Integrity Matters
- Images provide visual evidence supporting your scientific claims. If they are misleading, it can distort interpretation and conclusions.
- Advances in digital editing make manipulation easier, and harder to detect, heightening the need for clear rules and checks.
- Journals, editors, and the scientific community have increasingly adopted automated and editorial screening for image anomalies.
- Upholding strong image standards helps preserve the credibility of your research and the scholarly record.
General Principles & Responsibilities
- As an author, you must
- Represent the data faithfully - images should reflect what was actually observed, without distortion.
- Use minimal, nonmisleading processing - any adjustments must not misrepresent or exaggerate features.
- Apply changes equally across the full image (not selectively to parts) unless explicitly justified and declared.
- Disclose in captions or legends any manipulation or composition (e.g. splicing, composite panels).
- Retain original, unprocessed image data and supply it upon editorial request.
- Annotate or label composite or rearranged images (e.g. using dividing lines) and explain them clearly.
- Ensure that image reuse or duplication is properly cited, contextualized, and justified.
What Is & Isn’t Acceptable
- Acceptable Practices
- Linear adjustments of brightness, contrast, or color balance applied uniformly to the entire image.
- Cropping to emphasize regions of interest (provided that essential data are not hidden or misrepresented).
- Combining multiple images (from the same experiment) into a composite figure, with clear demarcation (e.g. thin lines) and explanation in legend.
- When creating rearranged images (e.g. merging lanes from a blot), clearly marking the joins and explaining them in the legend.
- Maintaining consistent scaling, aspect ratio, and resolution so images remain scientifically interpretable.
- Low DPI images.
- Prohibited or Problematic Practices
- Selectively altering parts of an image (e.g. brightening only a region, erasing features, adding or removing objects).
- Duplication or cloning of pixels within the same or between different panels (unless legitimate and declared).
- Misaligned splicing without indication or explanation.
- Applying nonlinear enhancements (e.g. gamma correction) to portions only, distorting data.
- Manipulating contrast/brightness to hide features or exaggerate signals.
- Presenting different experiments or gels as if from the same source without disclosure.
- Failing to mention that an image is a composite or that lanes/blots have been rearranged.
Screening & Editorial Checks
- All submitted manuscripts may be screened for image anomalies (duplication, splicing, irregular patterns) at any stage (submission, pre-publication, or post-publication).
- Editors may request original image files or raw data to verify integrity.
- If discrepancies are found, authors may be asked to explain, correct, or resubmit parts of their work.
- Unresolved or severe manipulations may lead to manuscript rejection, corrigendum, or even retraction.
Figure Legends & Documentation
- Your legends should include
- A description of any adjustments made (e.g. “brightness and contrast modified uniformly”).
- Clear indication of composite images and how panels were assembled or rearranged.
- Statement of how many replicates were imaged and used, and how the representative image was selected.
- Disclosure of reused images (with citation and context).
- Any scale bars, magnification, or relevant metadata.
- Additionally, you should
- Keep a clear record of original image files, metadata, and processing steps.
- Be ready to submit these original files to editors on request.
- Document processing steps to maintain transparency and reproducibility.
Special Cases & Examples
- gels / blots / lane splicing machine
- If splicing or rearrangement is done, include dividing lines and clearly explain in the legend. Avoid comparing lanes from different gels unless explicitly justified and processed under identical conditions.
- Microscopy & Insets
- When inserting magnified insets, mark region boundaries and ensure consistent processing. Provide scale bars and full-field images when possible.
- Replicate Control Panels
- If you show a representative control, ensure it comes from the same experiment and include supporting controls or metadata.
- Quantitative Comparisons
- Only perform quantitative comparisons if images were captured and processed under comparable conditions and remain within their linear signal ranges. Otherwise, such comparisons may mislead.
Consequences of Violations
- Authors may be asked to revise or replace problematic figures, provide original data, or explain discrepancies.
- In serious or unresolvable cases, the manuscript may be rejected or withdrawn.
- After publication, discovered manipulations may lead to corrections, notices, or retraction of figures or papers.