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METHOD AND SYSTEM FOR DIGITAL STAINING OF LABEL-FREE FLUORESCENCE IMAGES USING DEEP LEARNING
METHOD AND SYSTEM FOR DIGITAL STAINING OF LABEL-FREE FLUORESCENCE IMAGES USING DEEP LEARNING
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机译:基于深度学习的无标签荧光图像数字化保存方法和系统
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摘要
A deep learning-based digital staining method and system are disclosed that enables the creation of digitally/virtually-stained microscopic images from label or stain-free samples based on autofluorescence images acquired using a fluorescent microscope. The system and method have particular applicability for the creation of digitally/virtually-stained whole slide images (WSIs) of unlabeled/unstained tissue samples that are analyzes by a histopathologist. The methods bypass the standard histochemical staining process, saving time and cost. This method is based on deep learning, and uses, in one embodiment, a convolutional neural network trained using a generative adversarial network model to transform fluorescence images of an unlabeled sample into an image that is equivalent to the brightfield image of the chemically stained-version of the same sample. This label-free digital staining method eliminates cumbersome and costly histochemical staining procedures and significantly simplifies tissue preparation in pathology and histology fields.
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