Wave optics theory and 3-D deconvolution for the light field microscope. Academic Article uri icon

Overview

abstract

  • Light field microscopy is a new technique for high-speed volumetric imaging of weakly scattering or fluorescent specimens. It employs an array of microlenses to trade off spatial resolution against angular resolution, thereby allowing a 4-D light field to be captured using a single photographic exposure without the need for scanning. The recorded light field can then be used to computationally reconstruct a full volume. In this paper, we present an optical model for light field microscopy based on wave optics, instead of previously reported ray optics models. We also present a 3-D deconvolution method for light field microscopy that is able to reconstruct volumes at higher spatial resolution, and with better optical sectioning, than previously reported. To accomplish this, we take advantage of the dense spatio-angular sampling provided by a microlens array at axial positions away from the native object plane. This dense sampling permits us to decode aliasing present in the light field to reconstruct high-frequency information. We formulate our method as an inverse problem for reconstructing the 3-D volume, which we solve using a GPU-accelerated iterative algorithm. Theoretical limits on the depth-dependent lateral resolution of the reconstructed volumes are derived. We show that these limits are in good agreement with experimental results on a standard USAF 1951 resolution target. Finally, we present 3-D reconstructions of pollen grains that demonstrate the improvements in fidelity made possible by our method.

publication date

  • October 21, 2013

Research

keywords

  • Algorithms
  • Computer-Aided Design
  • Image Interpretation, Computer-Assisted
  • Imaging, Three-Dimensional
  • Microscopy
  • Models, Theoretical

Identity

PubMed Central ID

  • PMC3867103

Scopus Document Identifier

  • 84886436744

Digital Object Identifier (DOI)

  • 10.1364/OE.21.025418

PubMed ID

  • 24150383

Additional Document Info

volume

  • 21

issue

  • 21