High‐Throughput, Label‐Free and Slide‐Free Histological Imaging by Computational Microscopy and Unsupervised Learning

Rapid and high‐resolution histological imaging with minimal tissue preparation has long been a challenging and yet captivating medical pursuit. Here, the authors propose a promising and transformative histological imaging method, termed computational high‐throughput autofluorescence microscopy by pa...

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Detalles Bibliográficos
Autores principales: Zhang, Yan, Kang, Lei, Wong, Ivy H. M., Dai, Weixing, Li, Xiufeng, Chan, Ronald C. K., Hsin, Michael K. Y., Wong, Terence T. W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Research Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8805566/
https://www.ncbi.nlm.nih.gov/pubmed/34747142
http://dx.doi.org/10.1002/advs.202102358

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8805566/
https://www.ncbi.nlm.nih.gov/pubmed/34747142
http://dx.doi.org/10.1002/advs.202102358

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