Share Email Print
cover

Proceedings Paper

Pushing the limits of fluorescence microscopy with adaptive imaging and machine learning (Conference Presentation)
Author(s): Loic Royer

Paper Abstract

Fluorescence microscopy lets biologist see and understand the intricate machinery at the heart of living systems and has led to numerous discoveries. Any technological progress towards improving image quality would extend the range of possible observations and would consequently open up the path to new findings. I will show how modern machine learning and smart robotic microscopes can push the boundaries of observability. Moreover, I will demonstrate how smart microscopy techniques can achieve the full optical resolution of light-sheet microscopes — instruments capable of capturing the entire developmental arch of an embryo from a single cell to a fully formed motile organism.

Paper Details

Date Published: 10 March 2020
PDF
Proc. SPIE 11250, High-Speed Biomedical Imaging and Spectroscopy V, 112500V (10 March 2020); doi: 10.1117/12.2542236
Show Author Affiliations
Loic Royer, Chan Zuckerberg Biohub (United States)


Published in SPIE Proceedings Vol. 11250:
High-Speed Biomedical Imaging and Spectroscopy V
Kevin K. Tsia; Keisuke Goda, Editor(s)

© SPIE. Terms of Use
Back to Top
PREMIUM CONTENT
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?
close_icon_gray