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dc.contributor.authorLin, CYen_US
dc.contributor.authorChing, YTen_US
dc.contributor.authorWu-Hsieh, BAen_US
dc.date.accessioned2014-12-08T15:26:52Z-
dc.date.available2014-12-08T15:26:52Z-
dc.date.issued2001en_US
dc.identifier.isbn0-7803-7211-5en_US
dc.identifier.issn1094-687Xen_US
dc.identifier.urihttp://hdl.handle.net/11536/19114-
dc.description.abstractELISA (Enzyme-Linked Immunosorbent Assay) Spot Assay is a method widely used by immunologists to enumerate cytokine-producing cells within a specific cell population. The result of ELISA is presented in an image containing numerous color spots. We present a method to extract and to count the number of spots. The proposed method is based on color analysis. Since CIE L(*)u(*)v(*) space have linear perceptibility of color differences, we convert the RGB space to L(*)u(*)v(*) space. The system is trained to obtain the standard color of the spots and get the color difference image in L(*)u(*)v(*) space. According to the feature of the spots we design a special matched filters to filter out the noise and enhance the spots. Finally a binary image is obtained. In the binary images, pixels in the spots have gray scale 255 and the others are 0. Our design makes it easy to analyze the perimeter and size of the spots in addition to counting them in the binary image.en_US
dc.language.isoen_USen_US
dc.subjectELISAen_US
dc.subjectspoten_US
dc.subjectsegmentationen_US
dc.subjectCIEen_US
dc.titleA method to extract spots from the image of the ELISA (Enzyme-Linked Immunosorbent Assay) Spot Assayen_US
dc.typeProceedings Paperen_US
dc.identifier.journalPROCEEDINGS OF THE 23RD ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-4: BUILDING NEW BRIDGES AT THE FRONTIERS OF ENGINEERING AND MEDICINEen_US
dc.citation.volume23en_US
dc.citation.spage2549en_US
dc.citation.epage2552en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000178871900693-
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