Welcome to the new version of CaltechAUTHORS. Login is currently restricted to library staff. If you notice any issues, please email coda@library.caltech.edu
Published February 19, 2018 | Published + Supplemental Material
Journal Article Open

Virtual phase conjugation based optical tomography for single-shot three-dimensional imaging

Abstract

We propose a virtual phase conjugation (VPC) based optical tomography (VPC-OT) for realizing single-shot optical tomographic imaging systems. Using a computer-based numerical beam propagation, the VPC combines pre-modulation and post-demodulation of the probe beam's wavefront, which provides an optical sectioning capability for resolving the depth coordinates. In VPC-OT, the physical optical microscope system and VPC are coupled using digital holography. Therefore, in contrast to conventional optical tomographic imaging (OTI) systems, this method does not require additional elements such as low-coherence light sources or confocal pinholes. It is challenging to obtain single-shot three-dimensional (3D) tomographic images using a conventional OTI system; however, this can be achieved using VPC-OT, which employs both digital holography and computer based numerical beam propagation. In addition, taking into account that VPC-OT is based on a complex amplitude detection using digital holography, this method allows us to simultaneously obtain quantitative phase contrast images. Using an objective lens with a numerical aperture (NA) of 0.8, we demonstrate a single-shot 3D imaging of frog blood cells with a depth resolution of 0.94 μm.

Additional Information

© 2018 Optical Society of America under the terms of the OSA Open Access Publishing Agreement. Received 30 Oct 2017; revised 7 Jan 2018; accepted 9 Jan 2018; published 5 Feb 2018. Funding: Japan Society for the Promotion of Science (JSPS) (JP17J01545).

Attached Files

Published - oe-26-4-3779.pdf

Supplemental Material - Visualization_1.mov

Supplemental Material - Visualization_2.mov

Files

oe-26-4-3779.pdf
Files (6.5 MB)
Name Size Download all
md5:a566ce807d272cf653ef84bb239e198e
413.7 kB Download
md5:b4972f5e7d90807cffcca24e64b6050d
465.3 kB Download
md5:9772e79e5342dd88d3f39f7f1e476aee
5.6 MB Preview Download

Additional details

Created:
August 19, 2023
Modified:
October 18, 2023