We compare learning tomography with conventional linear diffraction tomography. These two models are assessed using Mie theory while using the same regularization. There are clear advantages of learning tomography against the linear model.

© 2017 Optical Society of America

PDF Article
More Like This
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

Learning tomography plus for highly scattering samples

Joowon Lim, Ahmed B. Ayoub, Elizabeth E. Antoine, and Demetri Psaltis
CTh1A.2 Computational Optical Sensing and Imaging (COSI) 2019

Physics-Embedded Deep Learning for Intensity Diffraction Tomography

Alex Matlock and Lei Tian
FTu2B.1 Frontiers in Optics (FiO) 2020


You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
Login to access OSA Member Subscription