Member of STM and COPE · Supporting research and publication integrity
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Prevent errors, verify image accuracy, and protect your reputation before journal submission.
Imagetwin empowers academic institutions to uphold research integrity across all levels, from individual researchers to compliance and ethics teams. Imagetwin supports academic institutions across key integrity workflows.
Hear from institutions and integrity experts using Imagetwin.
Head of the Research Integrity Service, CRUK Scotland Institute
The MRC Toxicology Unit uses Imagetwin to review figures in manuscripts prior to journal submission, with a particular focus on western blots and PCR gels. The platform has proven valuable in detecting unintentional human errors such as duplications and potential splicing issues, especially in manuscripts containing a large number of figures. This additional screening step helps identify small production or editing mistakes before submission and strengthens internal quality control. While its impact is greatest when gel images are central to a study, tools like Imagetwin play an important role in supporting responsible image handling and maintaining high standards of research integrity in an evolving publishing landscape.
Team of Researchers, MRC Toxicology Unit
At the American Society for Microbiology, Imagetwin has been an integral part of our routine ethics checks across all ASM journal titles since early 2023. Scientifically trained members of our Ethics and Integrity team use the platform to prescreen figures at the revision stage and to review revised figures to ensure duplication concerns are fully resolved. Duplication and plagiarism detection, particularly the reuse of images from prior publications, have been especially valuable. By combining AI-powered screening with expert in-house verification, we are able to identify and address concerns efficiently before publication, reinforce good data practices among authors, and safeguard the integrity of the scientific record.
Aashi Chaturvedi, Ph.D., Senior Program Officer, Ethics and Integrity, American Society for Microbiology
Imagetwin is an active member of internationally recognized publishing and research ethics organizations. Our work aligns with global standards for research integrity, ethical content handling, and responsible technology use.
Tools designed for research offices, compliance teams, and ethics committees.
Quickly scan large volumes of research papers, grant applications, and institutional reports for integrity issues
Investigate flagged images in detail with zoom, contrast adjustment, and keypoint matching
Probability scores from 0% to 100% help assess the severity of detected issues, allowing reviewers to prioritize cases
Generate detailed PDF reports summarizing integrity concerns
All data is fully encrypted and never stored beyond the scanning session, ensuring compliance with privacy policies
Imagetwin makes it easy to incorporate image verification into existing processes with APIs
Let us know, and we are happy to get in touch.
Institutions are responsible for ensuring the credibility of research output. Without proper life science image detection technology, manipulated or duplicated images could lead to retractions, ethics violations, or funding losses.
Book a demo directly with a member of our team, or send us an enquiry via our Contact Form to discuss custom institutional plans that support high-volume research scanning and compliance needs.
As a leading research institute, focused on pre-clinical cancer research, researchers at the CRUK Scotland Institute are aware of the global concern with the reproducibility of published pre-clinical cancer data and the integrity of the figures in cancer research papers. The CRUK Scotland Institute has established a research integrity framework that includes training on appropriate image processing and figure preparation, as well as a mandatory process for reviewing all research papers prior to submission to journals. As part of this we use Imagetwin to screen the figures in our papers. We find this really useful to identify accidental errors in images or duplication of representative images that might be breaches of copyright.