Article

An end-to-end platform for digital pathology using hyperspectral autofluorescence microscopy and deep learning based virtual histology

2023-04-17

Abstract excerpt

Conventional histopathology involves expensive and labor intensive processes that often consume tissue samples, rendering them unavailable for other analysis. We present a novel end-to-end workflow for pathology powered by hyperspectral microscopy and deep learning. First, we developed a custom hyperspectral microscope to non-destructively image the autofluorescence of unstained tissue sections. We then train a de...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 75b6b775-f756-541a-8ab1-5aa0f38613c4
DOI: 10.1101/2023.04.10.23288259

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

An end-to-end platform for digital pathology using hyperspectral autofluorescence microscopy and deep learning based virtual histologyDOI 10.1101/2023.04.10.23288259Read

Autofluorescence Virtual Staining System for H&E Histology and Multiplex Immunofluorescence Applied to Immuno-Oncology Biomarkers in Lung CancerSemantic proximity Read

Next-Generation Histopathology: A Clinical Trial of Advanced Virtual Histochemical StainsSemantic proximity Read

Virtual Histological Staining of Label-Free Total Absorption Photoacoustic Remote Sensing (TA-PARS)Semantic proximity Read

Automated whole-organ histological imaging assisted with ultraviolet-excited sectioning tomography and deep learningSemantic proximity Read

A Large-Scale Internal Validation Study of Unsupervised Virtual Trichrome Staining Technologies on Non-alcoholic Steatohepatitis Liver BiopsiesSemantic proximity Read

Integration of deep learning-based histopathology and transcriptomics reveals key genes associated with fibrogenesis in patients with advanced NASHSemantic proximity Read

Automatic colorectal cancer screening using deep-learning on spatial light interference microscopy dataSemantic proximity Read

An end-to-end workflow for non-destructive 3D pathologySemantic proximity Read

Diagnostic Performance of Self-Supervised Foundation Models for Intraoperative Quantification of Hepatic Macrovesicular SteatosisSemantic proximity Read

ViFIT-assisted Histopathology: From H&E Style Standardization to Virtual Fiber Image TransformationSemantic proximity Read

FalseColor-Python: a rapid intensity-leveling and digital-staining package for fluorescence-based slide-free digital pathologySemantic proximity Read

SHIFT: speedy histological-to-immunofluorescent translation of a tumor signature enabled by deep learning.Semantic proximity Read