共焦
人工智能
计算机视觉
频道(广播)
噪音(视频)
对偶(语法数字)
散粒噪声
模式识别(心理学)
计算机科学
泊松分布
光学
图像(数学)
物理
数学
统计
探测器
文学类
艺术
计算机网络
作者
Erik M. M. Manders,Fons J. Verbeek,Jacob A. Aten
标识
DOI:10.1111/j.1365-2818.1993.tb03313.x
摘要
SUMMARY A method to measure the degree of co‐localization of objects in confocal dual‐colour images has been developed. This image analysis produced two coefficients that represent the fraction of co‐localizing objects in each component of a dual‐channel image. The generation of test objects with a Gaussian intensity distribution, at well‐defined positions in both components of dual‐channel images, allowed an accurate investigation of the reliability of the procedure. To do that, the co‐localization coefficients were determined before degrading the image with background, cross‐talk and Poisson noise. These synthesized sources of image deterioration represent sources of deterioration that must be dealt with in practical confocal imaging, namely dark current, non‐specific binding and cross‐reactivity of fluorescent probes, optical cross‐talk and photon noise. The degraded images were restored by filtering and cross‐talk correction. The co‐localization coefficients of the restored images were not significantly different from those of the original undegraded images. Finally, we tested the procedure on images of real biological specimens. The results of these tests correspond with data found in the literature. We conclude that the co‐localization coefficients can provide relevant quantitative information about the positional relation between biological objects or processes.
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