Deep learning-enabled realistic virtual histology with ultraviolet photoacoustic remote sensing microscopy

Abstract The goal of oncologic surgeries is complete tumor resection, yet positive margins are frequently found postoperatively using gold standard H&E-stained histology methods. Frozen section analysis is sometimes performed for rapid intraoperative margin evaluation, albeit with known inaccuracies...

Полное описание

Библиографические подробности

Главные авторы:	Matthew T. Martell, Nathaniel J. M. Haven, Brendyn D. Cikaluk, Brendon S. Restall, Ewan A. McAlister, Rohan Mittal, Benjamin A. Adam, Nadia Giannakopoulos, Lashan Peiris, Sveta Silverman, Jean Deschenes, Xingyu Li, Roger J. Zemp
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Nature Portfolio 2023-09-01
Серии:	Nature Communications
Online-ссылка:	https://doi.org/10.1038/s41467-023-41574-2
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!