Next Level Western Blot Duplicate Detection

Sign of Gum Disease

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.

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.