Scene-based Shack-Hartmann wavefront sensor for light-sheet microscopy

Keelan Lawrence, Yang Liu, Savannah Dale, Rebecca Ball, Ariel J. Vanleuven, Andrew Sornborger, James D. Lauderdale, Peter Kner

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations


Light-sheet microscopy is an ideal imaging modality for long-term live imaging in model organisms. However, significant optical aberrations can be present when imaging into an organism that is hundreds of microns or greater in size. To measure and correct optical aberrations, an adaptive optics system must be incorporated into the microscope. Many biological samples lack point sources that can be used as guide stars with conventional Shack-Hartmann wavefront sensors. We have developed a scene-based Shack-Hartmann wavefront sensor for measuring the optical aberrations in a light-sheet microscopy system that does not require a point-source and can measure the aberrations for different parts of the image. The sensor has 280 lenslets inside the pupil, creates an image from each lenslet with a 500 micron field of view and a resolution of 8 microns, and has a resolution for the wavefront gradient of 75 milliradians per lenslet. We demonstrate the system on both fluorescent bead samples and zebrafish embryos.

Original languageEnglish
Title of host publicationAdaptive Optics and Wavefront Control for Biological Systems IV
EditorsJoel Kubby, Sylvain Gigan, Thomas G. Bifano
ISBN (Electronic)9781510614895
StatePublished - 2018
Externally publishedYes
EventAdaptive Optics and Wavefront Control for Biological Systems IV 2018 - San Francisco, United States
Duration: 27 Jan 201829 Jan 2018

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
ISSN (Print)1605-7422


ConferenceAdaptive Optics and Wavefront Control for Biological Systems IV 2018
Country/TerritoryUnited States
CitySan Francisco


  • Adaptive Optics
  • Fluorescence Microscopy
  • Light Sheet Microscopy
  • Wavefront Sensing


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