Sample
Target Users
- Microbiologists: Professionals seeking reliable assistance for Gram-stained slide analysis.
- Researchers: Those investigating bacterial vaginosis can streamline their workflow.
- Laboratories: Clinical and research labs aiming to enhance microbial testing processes with a quick, user-friendly support tool.
Key Features
- AI-Driven Analysis: Advanced AI algorithms analyze Gram-stained images, providing a suggested Nugent score to support user evaluation, comparable to laboratory technician performance.
- Quick Results: Obtain results in seconds, enabling rapid interpretation.
- Seamless Image Upload: Upload images from a C-mount camera or gallery for analysis.
Benefits
- Consistent Analysis: AI-generated scores help achieve more consistent interpretations, even outperforming manual evaluations.
- Reduced Manual Burden: Minimizes effort in Nugent scoring, allowing focus on other tasks.
Time Efficiency: Expedites analysis, facilitating handling of large sample volumes effectively.
How It Works
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Upload an Image: Capture a Gram-stained slide image with a C-mount camera through a microscope or upload an existing image from your gallery.
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Run the Analysis: The app processes the image with AI to provide a suggested Nugent score.
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View Results: Instantly view the suggested Nugent score, aiding in interpretation.
Caution When Make Specimen
- Please perform Gram staining using the Bartholomew-Mittwer method.
- Ensure the specimen used has no staining abnormalities.

Caution When Photographing
- Do not use out-of-focus images.

Publications
American Society for Microbiology(ASM): Microbiology Spectrum
Performance of deep learning models in predicting the nugent score to diagnose bacterial vaginosis
Acknowledgement
This app has been jointly developed with the Department of Clinical Laboratory, Kameda Medical Center, Higashi-cho 929, Kamogawa, Chiba, Japan.