Zebrafish Cell/Neuron Quantitation by Modified Circular Hough Transform

Tianming Liu, Jianfeng Lu, Jingxin Nie, Gang Li, Hui Yan, Jingyu Yang, Lei Guo, W. Xia, Stephen T. C. Wong
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引用次数: 1

Abstract

Microscopic imaging has become a critical step in the analysis of zebrafish phenotype, but tremendous amount of images generated from large number of embryos have become a bottleneck of data interpretation. The availability of an image informatics pipeline will be a significant step towards achieving reproducible quantitation of zebrafish phenotypes in scientific research and high-throughput screening. This paper presents an automated algorithm based on modified circular Hough transform for quantitation of zebrafish cells and neurons in microscopy imaging. Experimental results of three datasets are shown to demonstrate the performance of the algorithm. This algorithm has been integrated into our CBI Platform
基于改进圆形霍夫变换的斑马鱼细胞/神经元定量
显微成像已成为分析斑马鱼表型的关键步骤,但大量胚胎产生的大量图像已成为数据解释的瓶颈。图像信息学管道的可用性将是在科学研究和高通量筛选中实现斑马鱼表型可重复定量的重要一步。提出了一种基于改进圆形霍夫变换的斑马鱼细胞和神经元显微成像自动定量算法。三个数据集的实验结果验证了该算法的性能。该算法已集成到我们的CBI平台中
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