Artificial image tuning using a generative adversarial network on collagen images from second harmonic generation microscopy

Melissa Champer; Vikas Singh; Paul Campagnola

doi:10.1117/12.2649436

17 March 2023 Artificial image tuning using a generative adversarial network on collagen images from second harmonic generation microscopy

Melissa Champer, Vikas Singh, Paul Campagnola

Author Affiliations +

Proceedings Volume PC12363, Multiscale Imaging and Spectroscopy IV; PC1236309 (2023) https://doi.org/10.1117/12.2649436
Event: SPIE BiOS, 2023, San Francisco, California, United States

Abstract

Biological imaging studies are often limited by a low amount of data, decreasing the reliability of typical machine learning methods. We attempted to address this by creating large numbers of synthetic second harmonic generation images that can be tuned to reflect properties of different disease classes. To start, we collected collagen images from a variety of healthy and diseased specimens. These were analyzed with a modified generative adversarial network (StyleGAN) combined with an encoder. After training, we were able to produce images that accurately reflected our samples. These results can be applied to increase the accuracy of classification algorithms and models of extracellular matrix tissue.

Conference Presentation

Citation Download Citation

Melissa Champer, Vikas Singh, and Paul Campagnola "Artificial image tuning using a generative adversarial network on collagen images from second harmonic generation microscopy", Proc. SPIE PC12363, Multiscale Imaging and Spectroscopy IV, PC1236309 (17 March 2023); https://doi.org/10.1117/12.2649436

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