Auto-focus pathology microscope using sub-array sampling

完整後設資料紀錄

DC 欄位	值	語言
dc.contributor.author	Wu, Po-Hsun	en_US
dc.contributor.author	Weng, Chun-Jen	en_US
dc.contributor.author	Chen, Pi-Ying	en_US
dc.date.accessioned	2020-10-05T02:02:22Z	-
dc.date.available	2020-10-05T02:02:22Z	-
dc.date.issued	2019-01-01	en_US
dc.identifier.isbn	978-1-5386-3460-8	en_US
dc.identifier.issn	1091-5281	en_US
dc.identifier.uri	http://hdl.handle.net/11536/155534	-
dc.description.abstract	this study compared the focusing results of binning and sub-array methods with the aim of balancing speed and accuracy. Analysis was conducted using an autofocus system comprising a microscope, CCD, PZT actuator, LED light source, and two focus algorithms. Our results showed that by selecting an image sub-array of appropriate size and shape, it was possible to reduce the time required for autofocus operations to only 1 second, while maintaining the focusing accuracy of full-field analysis techniques.	en_US
dc.language.iso	en_US	en_US
dc.subject	auto-focus	en_US
dc.subject	microscope	en_US
dc.subject	pathology	en_US
dc.subject	sub-array	en_US
dc.subject	PZT actuators	en_US
dc.title	Auto-focus pathology microscope using sub-array sampling	en_US
dc.type	Proceedings Paper	en_US
dc.identifier.journal	2019 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC)	en_US
dc.citation.spage	922	en_US
dc.citation.epage	926	en_US
dc.contributor.department	機械工程學系	zh_TW
dc.contributor.department	Department of Mechanical Engineering	en_US
dc.identifier.wosnumber	WOS:000568630900165	en_US
dc.citation.woscount	0	en_US
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