Multi-layer label-free H&amp;E-like histology using ultraviolet scattering-augmented photoacoustic remote sensing microscopy

Nathaniel J.M. Haven; Matthew T. Martell; Brendyn D. Cikaluk; Brendon S. Restall; Ewan McAlister; Sveta Silverman; Lashan Peiris; Jean Deschenes; Xingyu Li; Roger J. Zemp

doi:10.1364/MICROSCOPY.2022.MTu2A.2

Biophotonics Congress: Biomedical Optics 2022 (Translational, Microscopy, OCT, OTS, BRAIN)
Technical Digest Series (Optica Publishing Group, 2022),
paper MTu2A.2
•https://doi.org/10.1364/MICROSCOPY.2022.MTu2A.2

Multi-layer label-free H&E-like histology using ultraviolet scattering-augmented photoacoustic remote sensing microscopy

Nathaniel J.M. Haven, Matthew T. Martell, Brendyn D. Cikaluk, Brendon S. Restall, Ewan McAlister, Sveta Silverman, Lashan Peiris, Jean Deschenes, Xingyu Li, and Roger J. Zemp

Microscopy Histopathology and Analytics 2022

Fort Lauderdale, Florida United States
24–27 April 2022
ISBN: 978-1-957171-03-6

From the session
Novel Histopathology I (MTu2A)

Not Accessible

Your library or personal account may give you access

Get PDF
Email
Share
Get Citation
Copy Citation Text
N. J. M. Haven, M. T. Martell, B. D. Cikaluk, B. S. Restall, E. McAlister, S. Silverman, L. Peiris, J. Deschenes, X. Li, and R. J. Zemp, "Multi-layer label-free H&E-like histology using ultraviolet scattering-augmented photoacoustic remote sensing microscopy," in Biophotonics Congress: Biomedical Optics 2022 (Translational, Microscopy, OCT, OTS, BRAIN), Technical Digest Series (Optica Publishing Group, 2022), paper MTu2A.2.

Export Citation
- BibTex
- Endnote (RIS)
- HTML
- Plain Text
Get Video
Citation alert
Save article

Abstract

There is an unmet need for freshly resected tissue histology. Combining ultraviolet scattering, photoacoustic remote sensing absorption contrast, and a color-matching algorithm, realistic multi-layer H&E-like imaging of fresh tissue is demonstrated.

PDF Article | Presentation Video

More Like This

Ultraviolet photoacoustic remote sensing and scattering microscopy for CycleGAN-enabled realistic virtual histology

Matthew T. Martell, Nathaniel J.M. Haven, Ewan A. McAlister, Brendon S. Restall, Brendyn D. Cikaluk, Rohan Mittal, Benjamin A. Adam, Nadia Giannakopoulos, Lashan Peiris, Sveta Silverman, Jean Deschenes, Xingyu Li, and Roger J. Zemp
126310C European Conference on Biomedical Optics (ECBO) 2023

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

Matthew T. Martell, Nathaniel J.M. Haven, Ewan A. McAlister, Brendon S. Restall, Sveta Silverman, Lashan Peiris, Benjamin A. Adam, Jean Deschenes, Xingyu Li, and Roger J. Zemp
MS4A.2 Microscopy Histopathology and Analytics (Microscopy) 2022

Label-Free Histology with Total Absorption Photoacoustic Remote Sensing (TA-PARS)

Benjamin Ecclestone, Kevan Bell, Marian Boktor, Vlad Pekar, Deepak Dinakaran, John R. Mackey, and Parsin Haji Reza
MTu2A.4 Microscopy Histopathology and Analytics (Microscopy) 2022

Previous Article Next Article

Presentation Video

Presentation video access is available to:

Optica Publishing Group subscribers
Technical meeting attendees
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