Approx. 95% for 7-class categorization (GNR/GNC/GPR/GPC/yeast-like fungi/multiple bacteria/no bacteria)
Approx. 10 sec. to display the results
Link to susceptibility testing data
Link to local antibiograms
|Image analysis and display||
The estimation module analyzes the input image and displays the result of the 7-class
categorization with the highest confidence and probability.The confidence is displayed as a
percentage from 0 to 1 with two decimal places. The closer the value is to 1, the higher the
*These are the 7 morphological classifications of bacteria
1: Gram-positive cocci
2: Gram-positive rods
3: Gram-negative cocci
4: Gram-negative rods
5: Yeast-like fungi
6: Mulitple bacteria
7: No bacteria
|Sample Image / Browsing Functions||Displays a list of Gram stained images to be determined for each sample.|
|Input Image validation and confirmation Function||Validates and confirms the use of the input image by determining if it contains bacteria.|
|Multiple Bacteria Determination Function||Notifies the user if the input image contains multiple bacteria.|
A: It is possible to detect the presence of multiple bacteria, but it is not possible to estimate which bacterial species are present in each field of view.
A: There is no correction for antimicrobial exposure. As for uneven staining, we provide recommended staining methods, etc. as precautions for use. If you want to check, please contact us through our website.
A: Yes, it works on Android. Analysis results may vary depending on the camera specs including resolution..
A: No. It works online.
A: The accuracy is about 95% for 7-class categorization (GNR/GNC/GPR/GPC/yeast-like fungi/multiple bacteria/no bacteria).
A: Yes, as long as the iPhone can be connected via USB or Wi-Fi.
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