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CELL BEHAVIOUR ANALYSIS DEVICE, CELL BEHAVIOUR ANALYSIS METHOD, AND PROGRAM

机译:细胞行为分析装置,细胞行为分析方法和程序

摘要

PROBLEM TO BE SOLVED: To provide a cell behavior analysis device or the like capable of facilitating a highly accurate automatic tracking by classifying a detected cell candidate area into a clear area and a non-clear area and executing an automatic tracking for the clear area high in cell detection accuracy based on a calculated feature quantity even under high density condition in which a number of non-clear areas of the cell are available.;SOLUTION: A cell behavior analysis device 1 extracts a cell candidate area using a binarized image of a time lapse image which is applied with cell image processing (S1), and executes feature quantity calculation processing for each cell candidate area (S2). The cell behavior analysis device 1 calculates an area size, a luminance value distribution, and a curvature distribution of the cell candidate area, and prepares a high dimensional feature vector based on the calculated feature quantity (S3). The cell behavior analysis device 1 extracts a cell area among the cell candidate areas based on the feature vector (S5). The cell behavior analysis device 1 executes automatic tracking processing for the extracted cell area.;COPYRIGHT: (C)2014,JPO&INPIT
机译:解决的问题:提供一种细胞行为分析装置等,其能够通过将检测到的细胞候选区域分类为透明区域和非透明区域并对高透明区域执行自动跟踪来促进高精度的自动跟踪。解决方案:细胞行为分析设备1使用像素的二值化图像提取细胞候选区域,即使在高密度条件下,细胞的检测精度也可以基于计算出的特征量进行检测。应用于单元格图像处理(S1)的延时图像,并对每个单元格候选区域执行特征量计算处理(S2)。单元行为分析装置1计算单元候选区域的面积大小,亮度值分布和曲率分布,并基于计算出的特征量准备高维特征向量(S3)。小区行为分析设备1基于特征向量在小区候选区域中提取小区区域(S5)。单元格行为分析设备1对提取的单元格区域执行自动跟踪处理。; COPYRIGHT:(C)2014,JPO&INPIT

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