BiTTE®-iEグラム染色顕微鏡画像から微生物推定するAI

by カーブジェン株式会社


Medical

free



■SummaryBiTTE®-iE, AI software that supports microbial estimation (non-medical equipment), is a system that supports microbial estimation from Gram-stained images using AI image analysis technology. Collaboration with local antibiograms is possible.*Patented (Patent No. 7090302)■How to useA field of view obtained by observing a Gram stain image under a microscope at 1,000x magnification is digitally zoomed to 1.9x and captured as an image through a smartphone camera, and estimation is performed using AI. It is classified into seven types: Gram-positive/negative, bacillus/coccus, yeast-like fungi, polymicrobial, and no bacterial cells. In addition, we also present 15 classification results, including specific bacterial species, as reference information. The recommended conditions for ideal accuracy are as follows.Dyeing method: Burmy methodImage size: W3024×H4032Magnification: Digital zoom 1.9xThe antibacterial drug candidate list screen displays a list of antibacterial drug candidates based on the drug susceptibility test statistical data of the prefecture selected at the time of registration for the putative species. You can also check the results by changing the order of minimum susceptibility rate, spectrum score, and AWaRe classification proposed by WHO.■Please help us improve the accuracy of microbial estimation.By accessing the sample summary screen from the apps home screen and entering the culture results, you can compare them with the information at the time of estimation.Culture results and image data will be used to improve this service in order to improve the accuracy of microbial estimation. Please register your culture results.■Instruction manualPlease search for "Carbgen BiTTE-iE" in your browser to access the BiTTE®-iE product page. You can check it by clicking on the "Click here for the instruction manual" link located in the middle of the page. There are also detailed notes on usage (about slides and images that are subject to estimation), so please be sure to check them out.■OthersIf this application is used for estimation targets other than microorganisms observed with an optical microscope or by inappropriate methods that are not based on the contents of the instruction manual, the estimation results aimed for by this application may not be output. .example) Images taken with a device other than an optical microscopeGeneral images not related to microbial testingAn image taken with a smartphone camera while displaying the field of view observed with an optical microscope on a computer monitor.Glass slides made using methods other than recommendedWe will continue to work hard to provide even better services.Thank you for your continued support of BiTTE®-iE.