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Proofig AI: Representative Training Categories for Detecting AI-Generated Images
Proofig AI: Representative Training Categories for Detecting AI-Generated Images

Learn how Proofig AI detects AI-generated images across diverse scientific imaging techniques.

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Written by Dekel Faruhi
Updated this week

Proofig AI has been trained on thousands of real and synthetic images spanning a wide range of imaging modalities in the life sciences. Below is a representative list of the major categories of images we’ve covered. It is not an exhaustive inventory, but rather a snapshot of the most common cases in which Proofig AI excels at detecting AI-generated content.


1. Fluorescence & Confocal Microscopy

Multi-channel or single-channel fluorescence images of cells, microbes or tissues, covering variations in labeling methods, and confocal z-stacks.


2. Immunohistochemical (IHC) Staining

Tissue sections with brown chromogenic labeling (e.g., DAB) and counterstains, spanning numerous tissue types and staining protocols for robust detection.


3. Hematoxylin & Eosin (H&E) Staining

Routine histopathological slides in pink-purple hues, including a wide variety of tissue sections from standard H&E stains.


4. Cell Culture Plates

Images showing cell growth, confluence, or colony formation in Petri dishes or multi-well plates, incorporating different cell lines and culture conditions.


5. Wound Healing (Scratch) Assays

Time-lapse or endpoint images of “scratch” closures in a cell monolayer, encompassing various cell types and magnifications.


6. Histological Tissue Samples

General tissue cross-sections (brightfield microscopy) not limited to a single stain type, trained on a broad range of tissues including normal and pathological samples.


7. Electron Microscopy (EM)

Transmission (TEM) or scanning electron microscopy (SEM) images highlighting cellular or subcellular details, with varying resolutions from organelle-level ultrastructure to surface morphology.


8. X-ray Imaging

Radiographs showing skeletal structures.


9. CT/MRI Scans

Cross-sectional slices of organs or tissues in clinical or research contexts, including a smaller but expanding dataset for detecting synthetic anomalies in medical scans.


10. Bioluminescence & CCD Imaging

Imaging of luminescent signals (e.g., luciferase) in animal models, with coverage for varied signal intensities, time points, and experimental conditions.


Important Reminder

These ten categories are only a subset of the comprehensive training dataset behind Proofig AI. We incorporate numerous subtypes, stains, imaging conditions, and biological variations to ensure robust detection. Because AI-generated content is constantly evolving, Proofig AI actively updates and expands its training scope to maintain cutting-edge accuracy.

If you have questions about other imaging techniques or specific use cases, please contact us at contact@proofig.com. We’re happy to discuss your particular needs and how Proofig AI can help safeguard the integrity of your research images.


Representative Image Collage

Representative Image Collage
Below is a collage showcasing various AI-generated images that represent some of the categories described above. These fall within the current detection capabilities of Proofig AI.


To learn more or discuss your specific needs, please contact us. We’re here to help you maintain the highest standards of image integrity.

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