Parametric dog-bone-shaped tunable cylindrical fluidic lens

Erol Ozgur, Daniel Reetz, Farhad Akhoundi, Nicholas O'Brien, Jaclyn Wycoff, Ram Voorakaranam, Pierre Alexandre Blanche, Lloyd LaComb, Chen Liang, Gholam Peyman, N. Peyghambarian

Research output: Contribution to journalArticlepeer-review

Abstract

Tunable spherical fluidic lenses are among the most essential components in adaptive optics.However, fabricating cylindrical tunable lenses has proven more challenging, mainly due to the difficulty in eliminating the defocus component.We demonstrate a parametric approach to minimize the defocus in cylindrical tunable fluidic lenses. We theoretically model and experimentally verify that a dog-bone-shaped tunable cylindrical fluidic lens exhibits almost pure cylindrical performance within the range of 5 Dof astigmatism. We anticipate these results will facilitate the use of tunable cylindrical fluidic lenses in adaptive optics applications and particularly ophthalmic devices, where rapid and reliable wavefront correction is required.

Original languageEnglish (US)
Pages (from-to)4755-4761
Number of pages7
JournalApplied optics
Volume60
Issue number16
DOIs
StatePublished - Jun 1 2021

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics
  • Engineering (miscellaneous)
  • Electrical and Electronic Engineering

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