Label-free, three-dimensional virtual staining of histopathological slides exploiting deep learning and refractive index tomography

Juyeon Park; Su-Jin Shin; Geon Kim; YongKeun Park

doi:10.1117/12.3002032

13 March 2024 Label-free, three-dimensional virtual staining of histopathological slides exploiting deep learning and refractive index tomography

Juyeon Park, Su-Jin Shin, Geon Kim, YongKeun Park

Author Affiliations +

Proceedings Volume PC12852, Quantitative Phase Imaging X; PC128520Y (2024) https://doi.org/10.1117/12.3002032
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

Hematoxylin and eosin (H&E) staining has been a gold standard for diagnosing cancer in histopathology. Nonetheless, H&E staining heavily requires time, resources and is limited in two-dimensional analyses. Here, we propose three-dimensional (3D) virtual staining of hematoxylin and eosin (H&E) from label-free refractive index (RI) images of histopathological slides. To achieve this, we integrated RI tomography, which provides 3D RI distribution without staining, with deep learning. By predicting brightfield (BF) images from RI images of thick colon slides, we generate virtually stained 3D H&E images. The accuracy of our approach is validated against conventional staining methods.

Conference Presentation

Citation Download Citation

Juyeon Park, Su-Jin Shin, Geon Kim, and YongKeun Park "Label-free, three-dimensional virtual staining of histopathological slides exploiting deep learning and refractive index tomography", Proc. SPIE PC12852, Quantitative Phase Imaging X, PC128520Y (13 March 2024); https://doi.org/10.1117/12.3002032

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available