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  Indian J Med Microbiol
 

Figure 3: Results of applying the software analysis on images of HbH blood smears obtained at ×40 objective. (a) Screenshot of the Qritive Pantheon™ user interface depicting the results of software analysis on an image obtained on the Precipoint™ slide scanner. AI identifications above 0.2 prediction confidence threshold are shown in the right-hand column. In this image, 10 confirmed HbH-positive identifications were detected by the software, with all having prediction confidence score of more than 0.98. (b) A HbH-positive cell with prediction confidence score of 0.98 is identified by the software on an image obtained on the Olympus™ imaging system. (c) ROC curve generated by comparing prediction confidence scores of true-positive versus true-negative cells on images obtained on the Precipoint™ slide scanner when identifications with prediction confidence score above 0.1 were considered. HbH: Hemoglobin H, ROC: Receiver operating characteristic

Figure 3: Results of applying the software analysis on images of HbH blood smears obtained at ×40 objective. (a) Screenshot of the Qritive Pantheon™ user interface depicting the results of software analysis on an image obtained on the Precipoint™ slide scanner. AI identifications above 0.2 prediction confidence threshold are shown in the right-hand column. In this image, 10 confirmed HbH-positive identifications were detected by the software, with all having prediction confidence score of more than 0.98. (b) A HbH-positive cell with prediction confidence score of 0.98 is identified by the software on an image obtained on the Olympus™ imaging system. (c) ROC curve generated by comparing prediction confidence scores of true-positive versus true-negative cells on images obtained on the Precipoint™ slide scanner when identifications with prediction confidence score above 0.1 were considered. HbH: Hemoglobin H, ROC: Receiver operating characteristic