Browsing by Author "Wu-Hsieh, BA"

Now showing 1 - 2 of 2

A method to extract spots from the image of the ELISA (Enzyme-Linked Immunosorbent Assay) Spot Assay
(2001)
Lin, CY
;
Ching, YT
;
Wu-Hsieh, BA
;
資訊工程學系
;
Department of Computer Science
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 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.
Computer method for ELISA spot assay analysis
(2005-08-01)
Lin, CY
;
Ching, YT
;
Wu-Hsieh, BA
;
資訊工程學系
;
Department of Computer Science
The 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.