Comparative Study of Sharpness Parameters of Microscopic Images of Biomedical Preparations

摘要

Comparative study and quality assessment of sharpness parameters used in automated detection of microscopic images of biomedical preparations are discussed. Automated microscopy is widely used in biomedical engineering in analysis of biomedical preparations (BMP). Microscope autofocusing is an essential component of automated microscopy systems. This provides automatic microscopy of BMP. Autofocusing methods fall into two groups: active and passive. Active methods detect the object-microscope distance. The optical system is tuned based on this measurement. Active methods provide real-time monitoring of BMP. Active methods require calibration to image sharpness. Optical parameters of BMP make it difficult to use this mode of autofocusing [1]. Passive methods are based on image processing. A series of vertically moved images provide a basis for the focusing curve. The focusing curve is the dependence of image sharpness on the microscope table position along the z-axis. The sharpest image corresponds to the maximum of the sharpness curve. Scanning along the vertical axis reveals the optimal position of the microscope table. Methods of passive autofocusing are slower than active methods. The efficiency of passive methods in BMP monitoring is higher than that of active methods [1].