FigScan

Plagiarism Detection Software

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This tool utilizes artificial intelligence to detect image integrity issues such as duplication, manipulation, and plagiarism within research publications. Its main features include expert-reviewed findings, extensive figure and panel screening, decision-ready structured reporting, and comparison against a scientific image database, addressing problems related to image falsification and data misrepresentation, and is designed for publishers, research institutions, and review teams aiming to ensure the authenticity and integrity of scientific visuals and figures.

FigScan can be found in Plagiarism Detection Software categories.

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FigScan Main Features

• Upload step
  You upload a PDF or images to start the screening process.
• Review process
  Reviewers check and validate the evidence found by the system.
• Generate reports
  It creates reports that are ready for decisions or further action.
• Screening checks
  The system looks for duplication and manipulation in the images.
• Built for complex images
  It works well with microscope images, blots, and many images in one paper.
• Decision-ready reporting
  It creates clear reports that help teams make decisions easily.
• Expert-reviewed findings
  The tool flags cases that are reviewed by experts so teams can take action.
• Figure + panel screening
  It checks for duplicated images, reused parts, and irregularities in figures.
• Compare figures and pages
  It finds duplicate panels or reused images across different parts of the paper.
• Detect image manipulation
  It finds if a figure is changed, such as splicing, deleting, or altering parts.
• Identify specific regions
  It shows exactly where in the image the problems are.
• Link evidence in one view
  It shows all related evidence together, saving time on manual checks.
• Screen against scientific literature
  It compares submitted images with a large database of published scientific images.
• Extend screening beyond the manuscript
  It helps review images across many sources, not just the submitted paper.

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