Table 3. Confusion matrix and overall performance of the classifier used to determine the sharpness of the cell image.

Algorithm Classification	Manual Observer Analysis		Predictive value
	In-focus	Out-of-focus
In-focus	2207	30	Positive: 98.7%
Out-of-focus	136	859	Negative: 86.3%
Overall performance of the applied algorithm
Sensitivity: 94.2%	Specificity: 95.9%	Accuracy: 94.8%