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Automated urine microscopy using scale invariant feature transform

Abstract:

Urine microscopy is a tedious task that requires utmost care from the technician doing the job. In order to provide clearer images for accurate interpretation of urine samples, microscopic images must be properly focused. Likewise, it is essential for the technician to avoid contamination with the urine sample when doing the task, especially in the course of the disease. Less human handling to prevent the spread of infectious diseases must also be exercised. This study emphasizes the use of autofocus on a compound microscope and implementation of automated microscope slide adjuster with image stitching through use of Variance of Laplacian method and Scale Invariant Feature Transform (SIFT), respectively.