A Learning Approach to Optical Tomography

Ulugbek Kamilov; Ioannis Papadopoulos; Morteza Shoreh; Alexandre Goy; Cedric Vonesch; Michael Unser; Demetri Psaltis

doi:10.1364/LS.2015.LW3I.1

Frontiers in Optics 2015
OSA Technical Digest (online) (Optica Publishing Group, 2015),
paper LW3I.1
•https://doi.org/10.1364/LS.2015.LW3I.1

A Learning Approach to Optical Tomography

Ulugbek Kamilov, Ioannis Papadopoulos, Morteza Shoreh, Alexandre Goy, Cedric Vonesch, Michael Unser, and Demetri Psaltis

Laser Science 2015

San Jose, California United States
18–22 October 2015
ISBN: 978-1-943580-03-3

From the session
Computational Optical Imaging II (LW3I)

Not Accessible

Your library or personal account may give you access

Get PDF
Email
Share
Get Citation
Copy Citation Text
U. Kamilov, I. Papadopoulos, M. Shoreh, A. Goy, C. Vonesch, M. Unser, and D. Psaltis, "A Learning Approach to Optical Tomography," in Frontiers in Optics 2015, OSA Technical Digest (online) (Optica Publishing Group, 2015), paper LW3I.1.

Export Citation
- BibTex
- Endnote (RIS)
- HTML
- Plain Text
Citation alert
Save article

Abstract

We form the 3D image of an object by minimizing the difference between the prediction of a network simulating the propagation of light through the object and the experimental measurement.

PDF Article

More Like This

Deep learning approach for solving the missing cone problem in optical diffraction tomography

Joowon Lim, Ahmed B. Ayoub, and Demetri Psaltis
CF4C.5 Computational Optical Sensing and Imaging (COSI) 2020

Assessment of the advantages of learning tomography over conventional linear optical tomography

JooWon Lim, Alexandre Goy, and Demetri Psaltis
JSII_1_4 European Quantum Electronics Conference (EQEC) 2017

3D Optical Diffraction Tomography Using Deep Learning

Thanh Nguyen, Vy Bui, and George Nehmetallah
DW2F.4 Digital Holography and Three-Dimensional Imaging (DH) 2018

Previous Article Next Article