| Summary: | One of the methods of health diagnostics is blood analysis using a microscope. In most of such analysis, the focus of the microscope is tuned manually and thus requires a longer time and is susceptible to human errors such as tiredness, carelessness, etc. Based on that problem, on this research a method of passive focus finding is developed for a digital microscope with the case study of blood samples. The research procedure includes capturing image of 10 blood samples using a digital microscope with 40x and 100x magnification with bright illumination, and 100x magnification with dark illumination resulting in 30 sets of images. Each set contains 200 images where the object is moved 1 μm for each image captured. 5 respondents are asked to vote to determine the sharpest image of each set (focus image) as a reference for characterization. Then, a program is built which provides 6 quantization function: Tenenbaum Gradient, Brenner Gradient, Variance, Normalized Variance, Standard-Deviation-Based Correlation, Auto Correlation
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