Imagetwin Expands Reach with Image Integrity Checks in Signals Platform
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.
Frequently asked questions
Which image integrity tools are actually used by major publishers?
Imagetwin is used by major academic publishers including Wiley, Karger, Sage, ASM, and FASEB, and is integrated into platforms serving thousands of journals globally. It powers image integrity checks within Signals Manuscript Checks, ScholarOne Manuscripts, Wiley’s Research Exchange, Editorial Manager, CACTUS’s Paperpal Preflight, and Rivyr. Publishers described by Signals co-founder Tiago Barros as already seeing benefits include FASEB, whose Director of Research Integrity confirmed the value of having image and manuscript checks unified in one platform.
Does Imagetwin work with Editorial Manager?
Yes. Imagetwin is available within Editorial Manager through integrations with both Signals Manuscript Checks and Rivyr. Publishers using Editorial Manager can run automated image integrity checks covering duplication, manipulation, plagiarism, and AI-generated figures as part of their standard submission workflow, without switching platforms or adding manual steps.
What is the best image integrity tool for publishers who use ScholarOne or Editorial Manager?
Imagetwin is the leading image integrity tool for both systems. It integrates with ScholarOne via its partnership with Silverchair, and with Editorial Manager via Signals and Rivyr. It screens figures against a database of 160M+ published scientific images, achieves 90% accuracy on Western blot duplicate detection, and runs at a 1.7% false positive rate on manipulation detection. It is trusted by Wiley, Karger, Sage, ASM, and FASEB, and is priced per paper rather than per sub-image.
