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.  Seminars
  • 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

Seminars


Seminar 00282.txt

Fast Multiresolution Reconstruction for Cryo-EM
Laurène Donati, EPFL STI LIB

Meeting • 17 April 2018

Abstract
We present a multiresolution reconstruction framework for single-particle analysis (SPA). The representation of 3D objects with scaled basis functions permits the reconstruction of volumes at any desired scale in the real-space. With this tool, one can now select a level of “coarseness” for the reconstruction that is well adapted to the current under-determination of the measurements during the refinement procedure (e.g., few projection angles). In particular, we show that reconstruction performed at coarse scale is more robust to error on angles and permits gains in computational speed. A key component of the proposed multiresolution scheme is its fast implementation. The costly step of the reconstruction — which was previously hindering the use of advanced iterative methods in SPA — is formulated as a discrete convolution with cost independent upon the number of projection directions. The inclusion of the CTF inside the imaging matrix is also done at no extra computational cost. Finally, by permitting full 3D regularisation, the framework is by itself a robust alternative to direct methods for performing reconstruction in adverse imaging conditions.
  • Laboratory
    • People
    • Jobs and Trainees
    • News
    • Events
    • Seminars
    • Resources (intranet)
    • Twitter
  • Research
  • Publications
  • 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

© 2025 EPFL, all rights reserved