– AI-powered research tool (RUO) for high-precision microbial estimation
from Gram-stained images in 10 seconds –
CarbGeM Inc. (Headquarters: Shibuya-ku, Tokyo, CEO: Masakazu Nakajima) is pleased to announce the global release of its microbial estimation AI software, “BiTTE®-iE”. The software is now available for download in approximately 170 countries via the App Store and Google Play. It is designed exclusively for research use only (RUO).
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.
■ AI-Based Microbial Classification (Three Levels)
■ 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.
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).
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.
