ImageTwin
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Who is it for?
ImageTwin can be useful for the following user groups:nResearchersnJournal editorsnPeer reviewersnPublishersnAcademic institutions
Description
ImageTwin is an AI-based software designed to detect image integrity issues in life science manuscripts. This tool specializes in identifying manipulation and duplication across various figure types, including Western blots and microscopy images. ImageTwin enhances the peer-review process by scanning submitted images against a database of 75 million images to uncover potential plagiarism and data fabrication. Users can easily select multiple image files in various formats, initiate an AI-driven scan with a single button press, and receive results within seconds via a user-friendly web interface. The software ensures data privacy and secure communication through encrypted servers.
Technical Details
Use Cases
✔️ Quickly assess the integrity of submitted figures for research papers by utilizing ImageTwin to detect image manipulation and duplication in real-time, ensuring compliance with publishing standards., ✔️ Enhance the peer-review process for scientific journals by scanning manuscripts against a comprehensive database of 75 million images, effectively identifying potential plagiarism and data fabrication before publication., ✔️ Facilitate secure and efficient collaboration among researchers and editors by using ImageTwin to validate image data integrity in life science manuscripts, all while maintaining data privacy through encrypted communication.
Key Features
✔️ Image integrity detection., ✔️ Manipulation and duplication identification., ✔️ Database scanning with 75 million images., ✔️ AI-driven scan initiation., ✔️ Encrypted data communication.
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