Welcome to Proofig. This guide provides an overview of the powerful detection capabilities of the Proofig system, ensuring the integrity of your scientific images by identifying various forms of image issues.

Overview of Capabilities

Proofig AI utilizes a vast database exclusively for detecting plagiarism, while also identifying duplications and manipulations within individual manuscripts. Let's look at the three main capabilities:

Detection of Reuse of Sub-Images From Published Manuscripts

Proofig detects the reuse of sub-images from different published manuscripts, commonly known as plagiarism. By utilizing PubMed's Source database, which contains tens of millions of images, Proofig can effectively identify instances of reused sub-images.

Detection of Duplication or Reuse of Sub-Images

Proofig identifies duplication or reuse of sub-images within the same manuscript. This includes detecting instances of scaling, rotation, flipping, full and partial overlap, and other irregularities, ensuring that all images in your manuscript are unique and have not been reused improperly.

Detection of Alterations or Manipulations

Proofig detects alterations or manipulations within a single sub-image. This includes identifying cloning, editing, deletion, and splicing, ensuring that each sub-image remains authentic and unaltered.

Here are just some examples of common image integrity challenges that Proofig can detect:
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flipped images
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cropped and rotated sections
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FACS partial overlap
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and spliced western blot images, demonstrating the system's capability to ensure the authenticity of your scientific data.

To learn more about how Proofig can enhance the integrity of your research, explore our other tutorial videos and guides. For detailed instructions on using each feature, use the 'page tutorial' button in the upper right corner of each screen or visit our knowledge center. Thank you for using Proofig.