We’re pleased to share that Imagetwin’s image analysis technology is now powering integrity checks within Signals Manuscript Checks, a leading platform used by publishers to evaluate submissions at scale. The integration enables publishers to automatically detect image duplication, plagiarism, manipulation, and AI-generated figures directly within their existing editorial workflows.
"Research integrity shouldn't require editors and publishers to juggle multiple tools and platforms. Our partnership with Imagetwin means our publisher users can now conduct Imagetwin’s image analysis alongside Signals Manuscript Checks—automatically and seamlessly within their existing editorial systems. Imagetwin are leaders in image integrity detection, and we're excited to bring their capabilities directly into the Signals platform.”
The volume and complexity of manuscript submissions continue to rise, bringing with them an increased risk of integrity issues that threaten publisher reputation. While editorial teams have long relied on fragmented tools to cover different aspects of review, this can slow down workflows and leave gaps in screening.
Our collaboration with Signals addresses that challenge by bringing image-based analysis into one consolidated system. Publishers can now:
Combine Imagetwin’s image integrity analysis with Signals’ author, reference, and full-text checks in a single platform
Flag issues such as duplication, plagiarism, manipulation, or AI generation, automatically, and early in the review process
Access image checks seamlessly through ScholarOne, Editorial Manager, or Direct Upload
Publishers are already seeing the benefits of a unified approach. Chad McCormick, Director of Research Integrity at FASEB, shared:
"Research integrity and editorial efficiency are priorities for FASEB. Having both evaluations in one place helps us quickly identify any issues so that we can focus on high-quality research."
Available Now
Image integrity checks powered by Imagetwin are now available to publishers using Signals Manuscript Checks, including those integrated with ScholarOne and Editorial Manager.
This collaboration reflects a broader shift in scholarly publishing: image integrity is no longer a nice-to-have. It’s essential for protecting research quality and preserving trust in scientific communication.
About Signals
Signals is a comprehensive manuscript analysis platform designed to help publishers detect issues and evaluate submissions with greater accuracy and efficiency. By uniting author, reference, and content checks in one solution, Signals streamlines editorial workflows, reduces manual effort, and enhances decision-making across the publication process.