Learning from examples in optical tomography
(Conference Presentation)

Demetri Psaltis

doi:10.1117/12.2212785

27 April 2016 Learning from examples in optical tomography (Conference Presentation)

Demetri Psaltis

Proceedings Volume 9718, Quantitative Phase Imaging II; 97181Z (2016) https://doi.org/10.1117/12.2212785
Event: SPIE BiOS, 2016, San Francisco, California, United States

Abstract

An optical tomography system measures the light scattered by an object as a function of spatial coordinates and as a function of the illumination angle. The measured signals are digitally processed to produce a 3D image of the object. In this paper we describe how we can learn the shape of an object by constructing a neural network that models the optical system and training the network to match the experimentally measured data. The variables of the trained network yield the image of the unknown object at the end of training phase. [1] Ulugbek, Papadopoulos, Shoreh, Goy, Vonesh, Unser, Psaltis, “A Learning Approach to Optical Tomography” Optica, May 2015.

Conference Presentation

Citation Download Citation

Demetri Psaltis "Learning from examples in optical tomography (Conference Presentation)", Proc. SPIE 9718, Quantitative Phase Imaging II, 97181Z (27 April 2016); https://doi.org/10.1117/12.2212785

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available