Скачать или смотреть Virtual Gram Staining with Deep Learning (AI)

Gram staining is a core microbiological technique for differentiating gram-positive and gram-negative bacteria based on the structure of their cell wall.

The method is routinely used in clinical settings to help identify pathogenic bacteria causing an infection, as well as in other fields, like environmental monitoring.

Although widely used, Gram staining has several limitations, such as the time required for manual staining and slide analysis, variability due to operator technique and safety risks from the chemicals involved.

To overcome these limitations, researchers looked to AI. They developed a deep learning model that turns dark-field microscopy images of unlabeled bacteria into their corresponding Gram-stained bright-field images with high accuracy.

How does it work? The model uses differences in how gram-positive and gram-negative cells scatter light—along with other spatial features—captured in the microscopy images to classify the bacteria.
The method is just one of many in which AI is being applied to streamline and automate bacterial classification and analysis techniques.

Sources
Featured Paper
Işıl, Ç., et al., Virtual Gram staining of label-free bacteria using dark-field microscopy and deep learning. Science Advances, Jan. 8, 2025. https://www.science.org/doi/10.1126/s...

Additional Resources
Barron M. Detecting Antibiotic Resistance with AI: Microbial Minutes. American Society for Microbiology, April 26, 2024. https://asm.org/videos/detecting-anti...
McMahon J., et al. A novel framework for the automated characterization of Gram-stained blood culture slides using a large-scale vision transformer. Journal of Clinical Microbiology, Feb. 24, 2025. https://journals.asm.org/doi/10.1128/...
Tripathi N., Zubair M., Sapra A. Gram Staining. StatPearls, March 28, 2025. https://www.ncbi.nlm.nih.gov/books/NB...
Tsang J. Identifying Bacteria Through Look, Growth, Stain and Strain. American Society for Microbiology, Feb. 7, 2020. https://asm.org/articles/2020/februar...
UCLA Engineering Institute for Technology Advancement. AI-powered staining in microbiology: Researchers introduce virtual Gram staining of label-free bacteria. Phys.org, Jan. 9, 2025. https://phys.org/news/2025-01-ai-powe...
Smith A.C., Hussey M.A. Gram Stain Protocols. American Society for Microbiology, Sept. 30, 2005. https://asm.org/protocols/gram-stain-...

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