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ESTIMATION OF CELL STATISTICS ON A CELL MANIFOLD FOR HIGH CONTENT SCREENING WITH AUTOMATED CELL SEGMENTATION

机译:自动细胞分割对高含量筛选细胞歧管细胞统计的估计

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We present a method for estimating cell population statistics on a high dimensional nonlinear cell manifold constructed from the output of a high throughput cytometer that allows microscopic imaging of each cell. After active contour segmentation of the cell images, we construct a nonlinear cell manifold from the morphology characteristics and multispectral properties of the cells. We estimate the geodesic distance between the cells on the cell manifold and use it to estimate the cell population statistics on the manifold and quantify dissimilarities between cells to enable meaningful clustering of similar cell populations.
机译:我们介绍一种估计从高通量细胞仪的输出构成的高尺寸非线性细胞歧管的细胞群统计的方法,允许每个细胞的微观成像。在细胞图像的活动轮廓分割之后,我们构建来自细胞的形态特征和多光谱特性的非线性细胞歧管。我们估计细胞歧管上的细胞之间的测地距,并使用它来估计歧管上的细胞群体统计,并量化细胞之间的异化,以实现类似的细胞群的有意义聚类。

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