A method to extract spots from the image of the ELISA (enzyme-linked immunosorbent assay) spot assay

Chih-Yang Lin, Y. Ching, B. Wu-Hsieh
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Abstract

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 has 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 filter 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.
一种从ELISA(酶联免疫吸附试验)斑点试验图像中提取斑点的方法
ELISA(酶联免疫吸附试验)斑点试验是免疫学家广泛使用的一种方法,用于枚举特定细胞群中产生细胞因子的细胞。ELISA的结果呈现在包含许多色斑的图像中。提出了一种斑点的提取和计数方法。该方法基于颜色分析。由于CIE L*u*v*空间具有色差的线性可感知性,我们将RGB空间转换为L*u*v*空间。对系统进行训练,得到色斑的标准颜色,得到L*u*v*空间的色差图像。根据斑点的特点,设计了一种特殊的匹配滤波器来滤除噪声,增强斑点。最后得到二值图像。在二值图像中,斑点中的像素灰度为255,其他像素为0。除了在二值图像中计数外,我们的设计使分析斑点的周长和大小变得容易。
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