Inferring nonlinear optical contrast from linear reflectance texture (Conference Presentation)

Arya C. Mugdha; Jesse W. Wilson

doi:10.1117/12.2527357

9 September 2019 Inferring nonlinear optical contrast from linear reflectance texture (Conference Presentation)

Arya C. Mugdha, Jesse W. Wilson

Proceedings Volume 11122, Ultrafast Nonlinear Imaging and Spectroscopy VII; 111220P (2019) https://doi.org/10.1117/12.2527357
Event: SPIE Optical Engineering + Applications, 2019, San Diego, California, United States

Abstract

Nonlinear and ultrafast microscopy techniques enable label-free chemical imaging with high sensitivity, specificity, and optical resolution. However, reliance on specialized high-intensity femtosecond laser sources makes these techniques expensive and introduces a risk for sample damage. Simpler linear imaging methods, such as reflectance confocal microscopy, only sense variations in refractive index, and lack clear contrast provided by nonlinear techniques. But in the case of biological samples, where there is often a structure-function relationship (e.g. a cell’s mitochondrial network dynamically rearranges itself in response to metabolic activity), the kind of chemical information picked up by nonlinear techniques might be inferred from linear reflectance texture. If such a mapping can be learned, multiphoton-like contrast could be synthesized with images from much simpler instrumentation. Our approach to synthetic nonlinear microscopy employs machine learning technique involving convolutional neural network, namely U-net, that has demonstrated promising performance in segmentation of biomedical images. We have incorporated a nonlinear laser-scanning microscope with a confocal detection channel in order to acquire a training dataset of co-registered reflectance and nonlinear images. Results will be presented, along with a discussion on how well we can expect the trained network to generalize to new specimens.

Conference Presentation

Citation Download Citation

Arya C. Mugdha and Jesse W. Wilson "Inferring nonlinear optical contrast from linear reflectance texture (Conference Presentation)", Proc. SPIE 11122, Ultrafast Nonlinear Imaging and Spectroscopy VII, 111220P (9 September 2019); https://doi.org/10.1117/12.2527357

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

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
PRESENTATION

WATCH
PRESENTATION SAVE TO MY LIBRARY

GET CITATION

KEYWORDS

Reflectivity

Confocal microscopy

Image segmentation

Microscopy

Femtosecond phenomena

Imaging spectroscopy

Nonlinear optics

Show All Keywords

Keywords/Phrases

Search In:

Publication Years