Microbial Estimation Support AI Software 'BiTTE-iE'
A system that utilizes AI image analysis technology to assist in the estimation of microorganisms from Gram-stained images!
"BiTTE-iE" is an AI software that assists in microbial estimation, capable of achieving approximately 95% accuracy in classifying 7 types and providing estimation results in about 10 seconds. It can be linked with local antibiograms and susceptibility statistical tests. By setting a smartphone on a microscope and capturing an image once the bacteria are confirmed, users can select the image of the identified bacterial species and tap the button to start the estimation, allowing for the differentiation of 5 bacterial morphologies and displaying susceptibility to various drugs. 【Functions (partial)】 ■ Image analysis and result output function ■ Target image/viewing function ■ Input image/validity/check function ■ Multiple bacteria/judgment function *For more details, please download the PDF or feel free to contact us.
basic information
【Bacterial Morphological Classification】 ■Gram-positive cocci ■Gram-positive bacilli ■Gram-negative cocci ■Gram-negative bacilli ■Yeast-like fungi ■Multiple bacteria ■No bacterial body *For more details, please download the PDF or feel free to contact us.
Price range
Delivery Time
Applications/Examples of results
For more details, please download the PDF or feel free to contact us.
catalog（1）
Download All Catalogs
Recommended products
Distributors
CarbGeM Inc. provides digital transformation (DX) and AI solutions specialized in the life sciences and healthcare sectors. Building on capabilities in medical data analysis, image-analysis AI, generative AI, and application development, we work together with academia, medical institutions, and companies to support the full journey from research and development through to real-world implementation. We have particular expertise in developing AI-based Software as a Medical Device (SaMD), navigating regulatory affairs, and establishing Quality Management Systems (QMS), backed by a proven track record of obtaining medical device approvals and notifications. We advance industry-academia partnerships around early-stage AI and data-science research emerging from academia, with technical implementation, clinical application, and commercialization firmly in view. We take the same approach with our corporate partners, pursuing co-creation to move research and new business initiatives forward while keeping technical implementation and regulatory requirements in mind. As a partner in joint research and new business development, we would welcome the opportunity to exchange ideas on areas where our expertise can add value—including data-collection design and the preparation of AI-ready data, DX/AI implementation, and the planning of regulatory and exit strategies. We would also be glad to take an active role in securing funding for joint projects.