Discover what Imagetwin is and how it detects image manipulation and plagiarism in life science figures. Learn about its features, founders, and use cases.

Imagetwin is AI-powered software that improves the quality and trustworthiness of scientific research by spotting integrity issues in figures from life science articles. It flags inappropriate manipulations and duplicated images across figure types such as western blots, microscopy images, and general photography. The tool scans documents or image files with its algorithms and presents results on a web interface, helping researchers, peer reviewers, publishers, and academic institutions maintain the credibility of their scholarly articles.
Imagetwin was founded by Markus Zlabinger (CTO) and Patrick Starke (CEO). Markus holds a Ph.D. in computer science and leads technology and product development, with expertise in image processing and machine learning. Patrick, a graduate of Vienna University of Economics and Business, handles cooperations and business development. The company, ImageTwin AI GmbH, is based in Vienna, Austria, and has received funding from Seedfinancing of the BMDW, managed by aws.
Imagetwin serves researchers, peer reviewers, and publishers, as well as data scientists, annotation experts, business development managers, and software developers.
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