Member of STM and COPE · Supporting research and publication integrity
Purpose-built technology for detecting duplicates and ensuring research transparency.
Our AI model identifies signs of splicing, copy-move forgeries, and localised alterations in microscopy, histology, and western blot images.
With user-friendly AI tools for image analysis, integrity checks in scientific papers are accessible without sacrificing effectiveness.
User uploads entire manuscripts, files or individual images to our secure platform for analysis.
Detects splicing seams, cloned areas, and brightness/contrast manipulation.
Flagged images are assigned a detection probability score, helping users to assess risks more accurately.
Analyze large datasets efficiently with our batch-scanning feature. Ideal for publishers, journals, and institutions.
Easily generate detailed PDF reports summarising all flagged manipulations with visual evidence.
Your data is protected with industry-standard encryption and security best practices.
Our platform also detects image duplication, plagiarism and AI-generation.
Start using Imagetwin to detect image integrity issues and support trustworthy research publishing.
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.
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.
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.
Yes, we prioritize data privacy and security, ensuring that all image indexing and exchanges are protected with industry-standard encryption and security best practices.
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.
For more detailed guidance on using Imagetwin, contact our support team through our Contact Us page.