Abstract

Ultrasonically-sculpted gradient-index optical waveguides enable non-invasive light confinement inside scattering media. The confinement level strongly depends on ultrasound parameters (e.g., amplitude, frequency), and medium optical properties (e.g., extinction coefficient). We develop a physically-accurate simulator, and use it to quantify these dependencies for a radially-symmetric virtual optical waveguide. Our analysis provides insights for optimizing virtual optical waveguides for given applications. We leverage these insights to configure virtual optical waveguides that improve light confinement fourfold compared to previous configurations at five mean free paths. We show that virtual optical waveguides enhance light throughput by 50% compared to an ideal external lens, in a medium with bladder-like optical properties at one transport mean free path. We corroborate these simulation findings with real experiments: we demonstrate, for the first time, that virtual optical waveguides recycle scattered light, and enhance light throughput by 15% compared to an external lens at five transport mean free paths.

Virtual optical waveguide can be potentially utilised in variety of applications that require in situ light steering yet the efficacy is still unclear. Here, the authors show that ultrasonically-sculpted virtual gradient-index waveguides are effective in guiding and confining light inside tissue and other scattering media, and significantly outperform external lenses at this task.

Details

Title
Optimized virtual optical waveguides enhance light throughput in scattering media
Author
Pediredla, Adithya 1   VIAFID ORCID Logo  ; Scopelliti, Matteo Giuseppe 2   VIAFID ORCID Logo  ; Narasimhan, Srinivasa 2 ; Chamanzar, Maysamreza 2 ; Gkioulekas, Ioannis 2   VIAFID ORCID Logo 

 Carnegie Mellon University, Pittsburgh, USA (GRID:grid.147455.6) (ISNI:0000 0001 2097 0344); Dartmouth College, United States of America (work done during Pediredla’s time at CMU), Hanover, USA (GRID:grid.254880.3) (ISNI:0000 0001 2179 2404) 
 Carnegie Mellon University, Pittsburgh, USA (GRID:grid.147455.6) (ISNI:0000 0001 2097 0344) 
Pages
5681
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2864705333
Copyright
© The Author(s) 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.