Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning
Abstract
Histological analysis of tissue samples is one of the most widely used methods for disease diagnosis. After taking a sample from a patient, it goes through a lengthy and laborious preparation, which stains the tissue to visualize different histological features under a microscope. Here, we demonstrate a label-free approach to create a virtually-stained microscopic image using a single wide-field auto-fluorescence image of an unlabeled tissue...
Paper Details
Title
Virtual histological staining of unlabelled tissue-autofluorescence images via deep learning
Published Date
Mar 4, 2019
Volume
3
Issue
6
Pages
466 - 477
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