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dc.contributor.authorLin, CYen_US
dc.contributor.authorChing, YTen_US
dc.contributor.authorWu-Hsieh, BAen_US
dc.date.accessioned2014-12-08T15:18:43Z-
dc.date.available2014-12-08T15:18:43Z-
dc.date.issued2005-08-01en_US
dc.identifier.issn0091-3286en_US
dc.identifier.urihttp://dx.doi.org/10.1117/1.2009767en_US
dc.identifier.urihttp://hdl.handle.net/11536/13462-
dc.description.abstractThe ELISA (enzyme-linked immunosorbent assay) spot assay is a method widely used by immunologists to enumerate cytokine-producing cells within a specific cell population. The ELISA results are presented in an image containing numerous colored spots. We present a method to identify the spots in the image and report on important statistics regarding them. The proposed method employs color analysis in the CIE Luv color space and matched filter technique. The system is trained to obtain a standard color for the spots and calculate the color differences between the spots and background in the Luv space. Matched filters are then used to remove noise and enhance the spots in the color difference map. Intensity thresholding is applied to obtain a binary image in which the pixels in the spots have a grayscale of 1 while the grayscale of the other pixels is 0. A software system is implemented, based on this method, to help immunologists analyze the results obtained from the. ELISA. (c) 2005 Society of Photo-Optical Instrumentation Engineers.en_US
dc.language.isoen_USen_US
dc.subjectELISAen_US
dc.subjectspoten_US
dc.subjectmatched filteren_US
dc.subjectsegmentationen_US
dc.subjectcolor analysisen_US
dc.subjectCIEen_US
dc.titleComputer method for ELISA spot assay analysisen_US
dc.typeArticleen_US
dc.identifier.doi10.1117/1.2009767en_US
dc.identifier.journalOPTICAL ENGINEERINGen_US
dc.citation.volume44en_US
dc.citation.issue8en_US
dc.citation.epageen_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000232596000010-
dc.citation.woscount0-
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