Biomedical Imaging Group
Logo EPFL
    • Splines Tutorials
    • Splines Art Gallery
    • Wavelets Tutorials
    • Image denoising
    • ERC project: FUN-SP
    • Sparse Processes - Book Preview
    • ERC project: GlobalBioIm
    • The colored revolution of bioimaging
    • Deconvolution
    • SMLM
    • One-World Seminars: Representer theorems
    • A Unifying Representer Theorem
Follow us on Twitter.
Join our Github.
Masquer le formulaire de recherche
Menu
BIOMEDICAL IMAGING GROUP (BIG)
Laboratoire d'imagerie biomédicale (LIB)
  1. School of Engineering STI
  2. Institute IEM
  3.  LIB
  4.  Structured Illumination
  • Laboratory
    • Laboratory
    • Laboratory
    • People
    • Jobs and Trainees
    • News
    • Events
    • Seminars
    • Resources (intranet)
    • Twitter
  • Research
    • Research
    • Researchs
    • Research Topics
    • Talks, Tutorials, and Reviews
  • Publications
    • Publications
    • Publications
    • Database of Publications
    • Talks, Tutorials, and Reviews
    • EPFL Infoscience
  • Code
    • Code
    • Code
    • Demos
    • Download Algorithms
    • Github
  • Teaching
    • Teaching
    • Teaching
    • Courses
    • Student projects
  • Splines
    • Teaching
    • Teaching
    • Splines Tutorials
    • Splines Art Gallery
    • Wavelets Tutorials
    • Image denoising
  • Sparsity
    • Teaching
    • Teaching
    • ERC project: FUN-SP
    • Sparse Processes - Book Preview
  • Imaging
    • Teaching
    • Teaching
    • ERC project: GlobalBioIm
    • The colored revolution of bioimaging
    • Deconvolution
    • SMLM
  • Machine Learning
    • Teaching
    • Teaching
    • One-World Seminars: Representer theorems
    • A Unifying Representer Theorem

A Method for Assessing the Fidelity of Optical Diffraction Tomography Reconstruction Methods Using Structured Illumination

A.B. Ayoub, T.-a. Pham, J. Lim, M. Unser, D. Psaltis

Optics Communications, vol. 454, no. 124486, pp. 1-6, January 1, 2020.


A fundamental challenge in 3D tomographic reconstruction is the difficulty of obtaining ground truth about test objects with which to assess the fidelity of the 3D reconstruction. We present a method that provides such a quantitative metric of the accuracy of the three dimensional reconstruction for optical tomography. The method relies on spatial light modulation of the illumination beam through the sample and numerical back-propagation of the phase conjugated experimentally measured optical field through the 3D reconstruction of the object. The fidelity of this reconstruction provides a quantitative measure of the accuracy of the 3D reconstruction without direct access to the ground truth about the 3D object.

@ARTICLE(http://bigwww.epfl.ch/publications/ayoub2001.html,
AUTHOR="Ayoub, A.B. and Pham, T.-a. and Lim, J. and Unser, M. and
	Psaltis, D.",
TITLE="A Method for Assessing the Fidelity of Optical Diffraction
	Tomography Reconstruction Methods Using Structured Illumination",
JOURNAL="Optics Communications",
YEAR="2020",
volume="454",
number="124486",
pages="1--6",
month="January 1,",
note="")

© 2020 The Authors. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from The Authors. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
  • Laboratory
  • Research
  • Publications
    • Database of Publications
    • Talks, Tutorials, and Reviews
    • EPFL Infoscience
  • Code
  • Teaching
Logo EPFL, Ecole polytechnique fédérale de Lausanne
Emergencies: +41 21 693 3000 Services and resources Contact Map Webmaster email

Follow EPFL on social media

Follow us on Facebook. Follow us on Twitter. Follow us on Instagram. Follow us on Youtube. Follow us on LinkedIn.
Accessibility Disclaimer Privacy policy

© 2023 EPFL, all rights reserved