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Article

Label-free histological analysis of retrieved thrombi in acute ischemic stroke using optical diffraction tomography and deep learning

2023-02-22

Abstract excerpt

<h4>ABSTRACT</h4> For patients with acute ischemic stroke, histological quantification of thrombus composition provides evidence for determining appropriate treatment. However, the traditional manual segmentation of stained thrombi is laborious and inconsistent. In this study, we propose a label-free method that combines optical diffraction tomography (ODT) and deep learning (DL) to automate the histological quan...

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Literature Corpus work
6bb8b06d-3f4c-5a11-a9dc-6dc2a3e1e93f
DOI
10.1101/2023.02.22.529519
Open publication

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Label-free histological analysis of retrieved thrombi in acute ischemic stroke using optical diffraction tomography and deep learningDOI 10.1101/2023.02.22.529519
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