TY - CONF M1 - Copyright 2006, IEE TI - Autofocusing algorithm selection in computer microscopy AD - Dept. of Mech. Ind. Eng., Toronto Univ., Ont., Canada BT - 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2-6 Aug. 2005 T3 - 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems A1 - Yu Sun A1 - Duthaler, S. A1 - Nelson, B.J. PY - 2005// U1 - 8734621 SP - 70 EP - 6 BN - 0 7803 8912 3 CY - Piscataway, NJ, USA PB - IEEE N2 - Autofocusing is a fundamental technology for automated biological and biomedical analyses and is indispensable for routine use of microscopes on a large scale. This paper presents a comprehensive comparison study of 18 focus algorithms in which a total of 139,000 microscope images are analyzed. Six samples were used with three observation methods (bright field, phase contrast, an d differential interference contrast (DIC)) under two magnifications (100 and 400). A ranking methodology is proposed, based on which the 18 focus algorithms are ranked. Image pre-processing is also conducted to extensively reveal the performance and robustness of the focus algorithms. The presented guidelines allow for the selection of the optimal focus algorithm for different microscopy applications KW - computerised instrumentation KW - focusing KW - medical image processing KW - microscopy U2 - autofocusing algorithm selection U2 - computer microscopy U2 - bright field U2 - phase contrast U2 - differential interference contrast U2 - ranking method ER -