FU Imagetwin Adds Image

By  ImageTwin AI |
FU Imagetwin Adds Image

How We Improved Western Blot Detection

To improve detection, we analysed thousands of Western Blot duplicates identified on PubPeer. These real-world cases helped us understand recurring patterns and highlighted situations where conventional algorithms struggled.

From this foundation, we worked closely with research integrity experts to assemble a large, curated dataset of Western Blot duplicates. This became the basis for training a new machine learning model, purpose-built for this image type.

Key advances in the new system include:

  • Specialised training corpus:
    Thousands of confirmed duplicates curated with expert input
  • Next-generation detection model:
    Optimised to capture subtle similarities that generic approaches miss
  • Robustness to transformations:
    Tested against common transformations such as rotation, scaling, contrast or colour shifts, quality loss, and flipping. These are all areas where the new model shows far stronger performance

The integration supports a unified workflow where editors can assess images, metadata, references, and manuscript content without switching platforms. This helps teams move faster and focus on publication decisions rather than manual screening.

“Research integrity is essential to trust in scholarly communication. Partnering with Imagetwin gives publishers a stronger way to detect image issues early and maintain high editorial standards across journals.”
– Abdallah Asad, Co-Founder at MindCrafted Analytics

About MindCrafted Analytics

MindCrafted Analytics is a research intelligence company that supports institutions, publishers, and funding bodies with data-driven insights and advanced publishing technologies. Its Rivyr Publishing Suite offers an end-to-end system for journal management, peer review, conference workflows, and research-integrity processes. MindCrafted focuses on transparency, editorial quality, and the long-term credibility of scholarly communication.

From this foundation, we worked closely with research integrity experts to assemble a large, curated dataset of Western Blot duplicates. This became the basis for training a new machine learning model, purpose-built for this image type.

Protect Research Integrity with Confidence

Start using Imagetwin to detect image integrity issues and support trustworthy research publishing.

Frequently asked questions

Imagetwin is software designed to detect integrity issues in figures of scientific articles. It helps identify inappropriate manipulations and duplications in various figure types, including western blots, microscopy images, and light photography.

Imagetwin is beneficial for researchers, peer reviewers, journal editors, and institutions aiming to uphold the quality and trustworthiness of scientific publications by ensuring the integrity of visual data.

Users can upload a PDF or multiple image files to Imagetwin. The software then scans the content using algorithms and vast databases of published scientific figures to detect potential integrity issues. Within seconds, results are presented through a web interface, highlighting any detected problems for review.

Yes, we prioritize data privacy and security, ensuring that all image indexing and exchanges are protected with industry-standard encryption and security best practices.

Create an account and start using Imagetwin immediately. We prepared a few example documents that you can scan free of charge.

Yes, Imagetwin is a powerful addition to the peer-review process. It automatically detects various integrity issues, which can then be quickly verified by a reviewer, enhancing the efficiency and accuracy of the review process. Imagetwin also partners with industry leaders in publishing and scholarly workflows, such as Morressier, TNQ Technologies and more, transforming how research is submitted, reviewed and published.

For more detailed guidance on using Imagetwin, contact our support team through our Contact Us page.