Minimally-invasive lensless computational microendoscopy leveraging modal decomposition

Samuel Metais, Jiayue Li, Jaewook Shin, Neil MacFarlane, Milad Alemohammad, Maged Harraz, Amy C. Foster, Mark A. Foster

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We demonstrate a lensless epi-fluorescence c omputational microendscope composed of a coded-aperture and multicore fiber. We find significant improvement in reconstructed image quality through modal decomposition of the fluorescence collected in each core of the fiber.

Original languageEnglish (US)
Title of host publication2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781943580910
StatePublished - May 2021
Event2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Virtual, Online, United States
Duration: May 9 2021May 14 2021

Publication series

Name2021 Conference on Lasers and Electro-Optics, CLEO 2021 - Proceedings

Conference

Conference2021 Conference on Lasers and Electro-Optics, CLEO 2021
Country/TerritoryUnited States
CityVirtual, Online
Period5/9/215/14/21

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Instrumentation
  • Atomic and Molecular Physics, and Optics

Fingerprint

Dive into the research topics of 'Minimally-invasive lensless computational microendoscopy leveraging modal decomposition'. Together they form a unique fingerprint.

Cite this