Member of STM and COPE · Supporting research and publication integrity
Imagetwin Blog & News
Discover how AI is reshaping image integrity in research with updates on Imagetwin’s tech, best practices, and industry insights.
Featured Article
Duplicate – Case Study: Radboud university medical center’s Investigation Identifies Image Issues in Pre-Clinical Stroke Research With Imagetwin’s Support
A new study published in PLOS Biology has uncovered widespread image-related problems in pre-clinical animal studies of subarachnoid hemorrhage. The findings highlight serious concerns for research integrity in a field
Case Study: Radboud university medical center’s Investigation Identifies Image Issues in Pre-Clinical Stroke Research With Imagetwin’s Support
A new study published in PLOS Biology has uncovered widespread image-related problems in pre-clinical animal studies of subarachnoid hemorrhage. The findings highlight serious concerns for research integrity in a field
Imagetwin Adds Image Integrity Checks to Rivyr.
Imagetwin has integrated its image integrity technology into MindCrafted Analytics
Duplicate – Case Study: Radboud university medical center’s Investigation Identifies Image Issues in Pre-Clinical Stroke Research With Imagetwin’s Support
A new study published in PLOS Biology has uncovered widespread image-related problems in pre-clinical animal studies of subarachnoid hemorrhage. The findings highlight serious concerns for research integrity in a field
Case Study: Radboud university medical center’s Investigation Identifies Image Issues in Pre-Clinical Stroke Research With Imagetwin’s Support
A new study published in PLOS Biology has uncovered widespread image-related problems in pre-clinical animal studies of subarachnoid hemorrhage. The findings highlight serious concerns for research integrity in a field
Protect Research Integrity with Confidence
Start using Imagetwin to detect image integrity issues and support trustworthy research publishing.
Frequently asked questions
What is Imagetwin?
Imagetwin is software designed to detect integrity issues in figures of scientific articles. It helps identify inappropriate manipulations and duplications in various figure types, including western blots, microscopy images, and light photography.
Who can benefit from using Imagetwin?
Imagetwin is beneficial for researchers, peer reviewers, journal editors, and institutions aiming to uphold the quality and trustworthiness of scientific publications by ensuring the integrity of visual data.
How does Imagetwin work?
Users can upload a PDF or multiple image files to Imagetwin. The software then scans the content using algorithms and vast databases of published scientific figures to detect potential integrity issues. Within seconds, results are presented through a web interface, highlighting any detected problems for review.
Is my data secure with Imagetwin?
Yes, we prioritize data privacy and security, ensuring that all image indexing and exchanges are protected with industry-standard encryption and security best practices.
How can I get access to Imagetwin?
Create an account and start using Imagetwin immediately. We prepared a few example documents that you can scan free of charge.
Does Imagetwin integrate with existing peer-review processes?
Yes, Imagetwin is a powerful addition to the peer-review process. It automatically detects various integrity issues, which can then be quickly verified by a reviewer, enhancing the efficiency and accuracy of the review process. Imagetwin also partners with industry leaders in publishing and scholarly workflows, such as Morressier, TNQ Technologies and more, transforming how research is submitted, reviewed and published.
Where can I find more information or support for using Imagetwin?
For more detailed guidance on using Imagetwin, contact our support team through our Contact Us page.