Imagetwin

Imagetwin serves as a comprehensive scientific image analysis software designed to preserve trust in research publications through advanced AI-powered detection. The platform addresses critical challenges in academic publishing by automatically identifying inappropriate image manipulations, unintentional duplications, and plagiarized visuals across scientific manuscripts.

The tool is primarily used by academic publishers, research institutions, universities, and individual researchers to screen manuscripts before publication. It supports peer review processes, editorial workflows, and institutional research integrity programs. Target users include journal editors, peer reviewers, research integrity officers, and scientists who need to verify the authenticity of visual data in scientific papers. With a database of over 120 million published figures, Imagetwin enables comprehensive cross-referencing to detect potential integrity violations that would be impossible to identify manually.

• AI-Generated Image Detection: Identifies AI-generated images in scientific figures with clear model attribution, ensuring the authenticity of visuals in manuscripts and protecting against synthetic image submissions.

• Duplication Detection: Automatically detects duplicated images within manuscripts, including exact copies and transformed versions, preventing unintentional or improper reuse of visual data.

• Manipulation Detection: Uncovers inappropriate image edits, splicing, copy-move forgeries, and alterations that may impact the validity of research findings through forensic-level analysis.

• Plagiarism Detection: Verifies image originality by comparing submissions against a database of over 120 million published figures, ensuring transparency and proper attribution with source citations.

• Extensive Database Access: Leverages a vast repository of published scientific figures to detect cross-paper duplication, with metadata tracing via DOI, PubMed, and PMC identifiers.

• Confidence Scoring: Provides toggleable confidence scores for each analysis, enabling users to make informed decisions about flagged integrity issues.

• API Integration: Allows seamless integration into peer review, publishing, and institutional workflows for automated and scalable image screening operations.

• Private Repository: Enables organizations to build custom article databases and automatically check new submissions against their own publication history for duplicate detection.

• Forensic Toolbox: Offers advanced image analysis tools including matched keypoints and filters for detailed manual evaluations of suspicious images.

• Data Encryption: Protects user data with industry-standard encryption and security best practices throughout the analysis process.

• Sign up for an account: Create an account at app.imagetwin.ai/signup to access the web-based platform and select your preferred pricing plan.

• Upload your manuscript: Upload a PDF file or up to 25 individual image files per scan, with all sub-images and panels within composite figures included automatically at no extra cost.

• Initiate AI analysis: Run the automated scan to detect duplications, manipulations, plagiarism, and AI-generated content using Imagetwin's advanced algorithms.

• Review flagged issues: Examine detected integrity issues presented with precise bounding boxes, confidence scores, and similarity metrics to assess the severity of each finding.

• Verify cross-paper matches: For plagiarism detection, review matched images against the 120+ million figure database with original source citations and metadata.

• Use forensic tools for deeper analysis: Apply the Forensic Toolbox features such as matched keypoints and filters when manual verification of suspicious images is needed.

• Generate reports and take action: Document findings for editorial decisions, author notifications, or institutional records based on the comprehensive analysis results.

• Speed and efficiency: What takes editors minutes to hours to check manually by eye takes Imagetwin seconds, dramatically accelerating the peer review process while maintaining accuracy.

• Comprehensive transformation detection: Identifies duplicates even when images have undergone rotations, mirroring, scaling, brightness adjustments, contrast changes, color modifications, and filters.

• Extensive coverage of scientific image types: Specialized detection for all major scientific image categories including microscopy images, western blots, gel electrophoresis, flow cytometry, histology slides, and cell culture photographs.

• Trusted by industry leaders: Used by 9 of the 10 largest academic publishers and major institutions including NIH, MD Anderson, and leading universities worldwide, demonstrating proven reliability.

• Continuous AI model updates: As image integrity challenges evolve, the AI models continuously update to detect emerging risks and new manipulation techniques in scientific imaging.

• Flexible deployment options: Available as both a user-friendly web application for individual researchers and via API integration for enterprise-scale automated workflows.

• Customer support: All users receive standard customer support through the platform for technical issues and general inquiries.

• Dedicated Account Manager: Users on Professional and Enterprise plans receive dedicated Account Manager support for personalized assistance and strategic guidance.

• User Manual: Comprehensive documentation available at imagetwin.ai/docs/manual covering all platform features and workflows.

• API Documentation: Technical documentation for developers at imagetwin.ai/docs/api to facilitate integration and custom implementations.

• Onboarding Workshops: Expert-led sessions available as add-ons to help teams get up to speed with using Imagetwin effectively in their workflows.

• Sales consultation: Contact the sales team for demos, custom pricing, and enterprise solutions through imagetwin.ai/contact.

• Web application: Accessible directly in browser at app.imagetwin.ai, no download required. Supports all major browsers and operating systems.