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A METHOD TO COMBINE BRIGHTFIELD AND FLUORESCENT CHANNELS FOR CELL IMAGE SEGMENTATION AND MORPHOLOGICAL ANALYSIS USING IMAGES OBTAINED FROM IMAGING FLOW CYTOMETER (IFC)
A METHOD TO COMBINE BRIGHTFIELD AND FLUORESCENT CHANNELS FOR CELL IMAGE SEGMENTATION AND MORPHOLOGICAL ANALYSIS USING IMAGES OBTAINED FROM IMAGING FLOW CYTOMETER (IFC)
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机译:利用成像流式细胞仪(IFC)获得的图像组合明亮和荧光通道进行细胞图像分离和形态分析的方法
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摘要
A classifier engine provides cell morphology identification and cell classification in computer-automated systems, methods and diagnostic tools. The classifier engine performs multispectral segmentation of thousands of cellular images acquired by a multispectral imaging flow cytometer. As a function of imaging mode, different ones of the images provide different segmentation masks for cells and subcellular parts. Using the segmentation masks, the classifier engine iteratively optimizes model fitting of different cellular parts. The resulting improved image data has increased accuracy of location of cell parts in an image and enables detection of complex cell morphologies in the image. The classifier engine provides automated ranking and selection of most discriminative shape based features for classifying cell types.
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