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28 November 2007 Microscope auto-focusing system with the self-adaptive mountain-climbing search method based on PC control
Liqun Xu, Zi Ye, Jianping Wu, Xinxin Yan, Feihong Yu
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Proceedings Volume 6834, Optical Design and Testing III; 68342E (2007) https://doi.org/10.1117/12.755746
Event: Photonics Asia 2007, 2007, Beijing, China
Abstract
A microscope auto-focusing system using the self-adaptive mountain-climbing search (SAMCS) method is introduced based on personal computer (PC) control. It mainly consists of four parts: the microscope, the digital camera to get the video images, the mechanical part of step motor and the computer to control the focusing process. The precision of the auto-focusing system is to some extent improved through high-resolution color images acquired by the digital camera as well as high subdivision of the step motor drive. An improved searching method--the SAMCS method is presented here. It can effectively improve the searching efficiency while guaranteeing the precision of the auto-focusing system. Based on the normal mountain-climbing search (MCS) algorithm, the SAMCS method takes full consideration of omnidistance concept and local extreme point influences. Thereby it can adaptively adjust the searching range according to different environmental conditions, and has quite good robustness. This feature mainly has two advantages. First, this method is much more exact than the normal mountain-climbing, which can not avoid local fluctuations. Second, it is much faster than the method of only using omnidistance searching to avoid local fluctuations. At the same time, we also take evaluation function and region selection into consideration to reach a faster and more accurate focusing result. And the experimental result demonstrates a good efficiency and accuracy.
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Liqun Xu, Zi Ye, Jianping Wu, Xinxin Yan, and Feihong Yu "Microscope auto-focusing system with the self-adaptive mountain-climbing search method based on PC control", Proc. SPIE 6834, Optical Design and Testing III, 68342E (28 November 2007); https://doi.org/10.1117/12.755746
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KEYWORDS
Microscopes
Control systems
Digital cameras
Objectives
Computing systems
Process control
Digital image processing
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