Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Label-Free Deep UV Microscopy Identifies Basal Cells in Prostate Gland: A Powerful Endogenous Negative Biomarker of Carcinoma

Not Accessible

Your library or personal account may give you access

Abstract

We apply label-free multispectral deep ultraviolet (UV) microscopy to analyze the endogenous molecular composition of prostate tissue sections. We show the approach can identify critical structures in prostate tissue including basal cells which are of utmost diagnostic importance.

© 2022 The Author(s)

PDF Article  |   Presentation Video
More Like This
Deep Learning-assisted 3D Segmentation and Analysis of Prostate Glands for Cancer Risk Stratification

Weisi Xie, Nicholas P. Reder, Can Koyuncu, Patrick Leo, Sarah Hawley, Hongyi Huang, Chenyi Mao, Nadia Postupna, Soyoung Kang, Robert Serafin, Gan Gao, Qinghua Han, Kevin W. Bishop, Lindsey A. Barner, Pingfu Fu, Jonathan L. Wright, C. Dirk Keene, Joshua C. Vaughan, Andrew Janowczyk, Adam K. Glaser, Anant Madabhushi, Lawrence D. True, and Jonathan T.C. Liu
MS4A.4 Microscopy Histopathology and Analytics (Microscopy) 2022

Automated virtual staining, segmentation and classification of deep ultraviolet (UV) microscopy images for hematological analysis

Nischita Kaza, Ashkan Ojaghi, and Francisco E. Robles
MW4A.5 Microscopy Histopathology and Analytics (Microscopy) 2022

Label-free multiplexed microtomography of endogenous subcellular dynamics using generalizable deep learning

YoungJu Jo, Hyungjoo Cho, Wei Sun Park, Geon Kim, DongHun Ryu, Young Seo Kim, Moosung Lee, Sangwoo Park, Mahn Jae Lee, Hosung Joo, HangHun Jo, Seongsoo Lee, Sumin Lee, Hyun-seok Min, Won Do Heo, and YongKeun Park
ATh2I.6 CLEO: Applications and Technology (CLEO:A&T) 2022

Presentation Video

Presentation video access is available to:

  1. Optica Publishing Group subscribers
  2. Technical meeting attendees
  3. Optica members who wish to use one of their free downloads. Please download the article first. After downloading, please refresh this page.

Contact your librarian or system administrator
or
Log in to access Optica Member Subscription or free downloads


More Like This
Deep Learning-assisted 3D Segmentation and Analysis of Prostate Glands for Cancer Risk Stratification

Weisi Xie, Nicholas P. Reder, Can Koyuncu, Patrick Leo, Sarah Hawley, Hongyi Huang, Chenyi Mao, Nadia Postupna, Soyoung Kang, Robert Serafin, Gan Gao, Qinghua Han, Kevin W. Bishop, Lindsey A. Barner, Pingfu Fu, Jonathan L. Wright, C. Dirk Keene, Joshua C. Vaughan, Andrew Janowczyk, Adam K. Glaser, Anant Madabhushi, Lawrence D. True, and Jonathan T.C. Liu
MS4A.4 Microscopy Histopathology and Analytics (Microscopy) 2022

Automated virtual staining, segmentation and classification of deep ultraviolet (UV) microscopy images for hematological analysis

Nischita Kaza, Ashkan Ojaghi, and Francisco E. Robles
MW4A.5 Microscopy Histopathology and Analytics (Microscopy) 2022

Label-free multiplexed microtomography of endogenous subcellular dynamics using generalizable deep learning

YoungJu Jo, Hyungjoo Cho, Wei Sun Park, Geon Kim, DongHun Ryu, Young Seo Kim, Moosung Lee, Sangwoo Park, Mahn Jae Lee, Hosung Joo, HangHun Jo, Seongsoo Lee, Sumin Lee, Hyun-seok Min, Won Do Heo, and YongKeun Park
ATh2I.6 CLEO: Applications and Technology (CLEO:A&T) 2022

Deep Learning-based Virtual Immunohistochemical HER2 staining of Label-Free Breast Tissue

Bijie Bai, Hongda Wang, Yuzhu Li, Kevin de Haan, Francesco Colonnese, Yujie Wan, Jingyi Zuo, Ngan B. Doan, Xiaoran Zhang, Yijie Zhang, Jingxi Li, Wenjie Dong, Morgan Angus Darrow, Elham Kamangar, Han Sung Lee, Yair Rivenson, and Aydogan Ozcan
SM5O.2 CLEO: Science and Innovations (CLEO:S&I) 2022

Handheld Optical Polarization Imager Delineates Surgical Margins of Basal Cell Carcinoma

Peter R. Jermain, Tyler W. Iorizzo, Bassel Mahmoud, Mary Maloney, Dori Goldberg, and Anna N. Yaroslavsky
MS2A.4 Microscopy Histopathology and Analytics (Microscopy) 2022

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.