Automated calibration of microscope based on image processing methods

Abstract

Microscopes must be calibrated so that accurate measurements can be made. Pixel size calibration is necessary for medical image processing applications. To calibrate a digital microscope, the normal procedure is to manually measure the distance of the divisions in the image of stage micrometer and find out the pixel size calibration factor. Here we propose an automated methodology for finding pixel size calibration factor of the digital microscope by analyzing the microscopic image of stage micrometer. The proposed methodology can reduce the human observational errors in manual method of calibration. Our approach is scalable and well suited for automated image acquisition applications. © 2013 Springer.