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Brightfield and fluorescence channel integration method for cell image segmentation and morphological analysis using images acquired from an imaging flow cytometer (IFC)
Brightfield and fluorescence channel integration method for cell image segmentation and morphological analysis using images acquired from an imaging flow cytometer (IFC)
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机译：使用从成像流式细胞仪（IFC）获取的图像进行细胞图像分割和形态分析的明场和荧光通道整合方法
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摘要
A classification engine provides cell morphology identification and cell classification in computer automated systems, methods and diagnostic tools. A classification engine performs multispectral segmentation of thousands of cell images acquired by a multispectral imaging flow cytometer. As a function of the imaging mode, different images of the image provide different segmentation masks for cells and intracellular elements. Using the segmentation mask, the classification engine iteratively optimizes the model fit for different cellular elements. The obtained improved image data increases the accuracy of the position of the cell elements in the image, and enables detection of complex cell morphology in the image. The classification engine provides automated ranking and selection of properties based on the most characteristic shapes for cell type classification. [Selection] Figure 3A
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