Moving from Problem to Solution
In the first two parts of this series, we examined the scale of image manipulation in science and reviewed real cases that illustrate its serious consequences. This final post focuses on what we can actually do about it. After years of helping journals, universities, and researchers protect image integrity, we’re convinced practical solutions are within reach.
Everyday Best Practices for Researchers
Start with simple but powerful habits:
- Always retain the original, unprocessed image files from your equipment.
- Use only global adjustments (brightness, contrast) that affect the entire image.
- Avoid selective enhancement of individual bands, cells, or features.
- Document every step of image processing in your lab notebook or methods section.
Journals can support this by requiring submission of raw data for key figures and by providing clearer guidelines on acceptable image handling.
The Role of Forensic Technology
Best practices alone are no longer sufficient. This is where advanced forensic tools become essential. At vali.now, we developed Veritas specifically for scientific use. It analyzes the invisible Photo Response Non-Uniformity (PRNU) pattern – essentially the unique “fingerprint” of every camera or scanner sensor – to verify whether an image truly originates from the claimed source.
Unlike basic duplication-detection software, Veritas provides objective, tamper-evident results that ethics committees, publishers, and institutions can use with confidence.
Building Stronger Institutional Safeguards
Universities and research organizations should:
- Offer regular image-integrity training for researchers.
- Establish clear policies on data retention and image processing.
- Create safe channels for whistleblowers.
- Consider routine forensic checks for high-impact submissions.
When these layers work together – researcher diligence, journal policies, and forensic technology — they create a robust defense system that protects honest science while deterring misconduct.
The Path Forward for Scientific Trust
The scientific community has already started moving in the right direction. Retractions are happening more quickly, and forensic tools like Veritas are becoming part of standard workflows for important publications. By treating image integrity with the same seriousness we give to statistics and peer review, we can restore confidence and accelerate genuine discoveries.
If you are a researcher, journal editor, or research administrator and would like to learn more about implementing image integrity checks, I’d be happy to connect. At vali.now our goal is simple: help science keep its visual evidence reliable so that every published image tells the truth.
This concludes our three-part series on scientific image integrity. Thank you for reading- let’s continue the conversation in the comments or via direct contact.