Performance of a MEMS-based AO-OCT system using Fourier reconstruction

Julia W. Evans, Robert Zawadzki, Steve Jones, Scot Olivier, John S Werner

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


Adaptive optics (AO) and optical coherence tomography (OCT) are powerful imaging modalities that, when combined, can provide high-resolution (3.5 μm isotropic), 3-D images of the retina. The AO-OCT system at UC Davis has demonstrated the utility of this technology for microscopic, volumetric, in vivo retinal imaging. The current system uses an AOptix bimorph deformable mirror (DM) for low-order, high-stroke correction and a 140-actuator Boston Micromachines DM for high-order correction. Developments to improve performance or functionality of the instrument are on-going. Based on previous work in system characterization we have focused on improved AO control. We present preliminary results and remaining challenges for a newly implemented Fourier transform reconstructor (FTR). The previously reported error budget analysis is also reviewed and updated, with consideration of how to improve both the amount of residual error and the robustness of the system. Careful characterization of the AO system will lead to improved performance and inform the design of future systems.

Original languageEnglish (US)
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 2009
EventMEMS Adaptive Optics III - San Jose, CA, United States
Duration: Jan 27 2009Jan 29 2009


OtherMEMS Adaptive Optics III
Country/TerritoryUnited States
CitySan Jose, CA


  • Adaptive Optics
  • MEMS deformable mirror
  • Optical coherence tomography

ASJC Scopus subject areas

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics


Dive into the research topics of 'Performance of a MEMS-based AO-OCT system using Fourier reconstruction'. Together they form a unique fingerprint.

Cite this