Abstract

Traditional wavefront-sensor-based adaptive optics (AO) techniques face numerous challenges that cause poor performance in scattering samples. Sensorless closed-loop AO techniques overcome these challenges by optimizing an image metric at different states of a deformable mirror (DM). This requires acquisition of a series of images continuously for optimization− an arduous task in dynamic in vivo samples. We present a technique where the different states of the DM are instead simulated using computational adaptive optics (CAO). The optimal wavefront is estimated by performing CAO on an initial volume to minimize an image metric, and then the pattern is translated to the DM. In this paper, we have demonstrated this technique on a spectral-domain optical coherence microscope for three applications: real-time depth-wise aberration correction, single-shot volumetric aberration correction, and extension of depth-of-focus. Our technique overcomes the disadvantages of sensor-based AO, reduces the number of image acquisitions compared to traditional sensorless AO, and retains the advantages of both computational and hardware-based AO.

Original languageEnglish (US)
Pages (from-to)12998-13014
Number of pages17
JournalOptics Express
Volume27
Issue number9
DOIs
StatePublished - Apr 29 2019

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adaptive optics
shot
microscopy
deformable mirrors
aberration
acquisition
sensors
hardware
microscopes
optimization
causes
scattering

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics

Cite this

Automated sensorless single-shot closed-loop adaptive optics microscopy with feedback from computational adaptive optics. / Iyer, Rishyashring R.; Liu, Yuan Zhi; Boppart, Stephen Allen.

In: Optics Express, Vol. 27, No. 9, 29.04.2019, p. 12998-13014.

Research output: Contribution to journalArticle

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