BiTTE®-iE utilizes AI-powered image analysis to provide high-precision microbial identification based on Gram-stained microscopy images. The AI model has been trained on image data labeled using culture-based bacterial identification, enabling the prediction of microbial classifications at three levels. By attaching a smartphone to a standard optical microscope and capturing Gram-stained images, users can obtain classification results in approximately 10 seconds.
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Key Features
■ AI-Based Microbial Classification (Three Levels)
• Five bacterial morphology classes
• Major species-level classification
• Intermediate (genus or group-level) classification
■ Integration with Antimicrobial Susceptibility Data
Linked to statistical data from U.S. public health agencies, enabling users to reference likely resistance trends for identified species.
■ Customization with Local Facility Data
Users can integrate their own institutional antimicrobial susceptibility data for more localized analysis and interpretation.
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Product Overview
• Name: BiTTE®-iE
• Supported OS: iOS / Android
• Availability: Approx. 170 countries (via App Store / Google Play)
• Intended Use: Research Use Only
• Product website: (リンク »)
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Future Outlook
CarbGeM will continue to advance research efficiency and accuracy through BiTTE®-iE and its suite of AI-powered solutions. In particular, the company aims to expand functionality and enhance analytical precision to support research in infectious disease control and antimicrobial resistance (AMR).
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About CarbGeM Inc.
CarbGeM Inc. aims to apply its proprietary AI-based analytical technologies to the field of bacterial infections by integrating biology and digital innovation. Through open innovation with leading research institutions in Japan and abroad, CarbGeM contributes to addressing global challenges such as antimicrobial resistance.
• Headquarters: 1-5-13 Jinnan, Shibuya-ku, Tokyo
• Representative: Masakazu Nakajima
• Website: (リンク »)
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