Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Interaction of EM Radiation with Matter: Spectroscopy01:12

Interaction of EM Radiation with Matter: Spectroscopy

3.3K
Electromagnetic (EM) radiation can be considered an oscillating electric and magnetic field propagating through a medium that can interact with matter in its path. The electric field in the radiation can interact with electrical charges in the atoms or molecules in the matter. On the other hand, the magnetic field can interact with the magnetic field in the atomic nucleus. The study of the interaction between electromagnetic radiation and matter is termed spectroscopy. Spectroscopy is the study...
3.3K
Dual Nature of Electromagnetic (EM) Radiation01:10

Dual Nature of Electromagnetic (EM) Radiation

3.9K
Electromagnetic (EM) radiation consists of electric and magnetic field components oscillating in planes perpendicular to each other and mutually perpendicular to radiation propagation through space. EM radiation can be classified as a wave, characterized by the properties of waves such as wavelength (denoted as λ) and frequency (represented by ν).
Wavelength is the distance between two consecutive peaks (the highest point) or troughs (the lowest point) in the wave. Frequency is the number of...
3.9K
Cryo-electron Microscopy01:28

Cryo-electron Microscopy

4.3K
Conventional electron microscopy (EM) involves dehydration, fixation, and staining of biological samples, which distorts the native state of biological molecules and results in several artifacts. Also, the high-energy electron beam damages the sample and makes it difficult to obtain high-resolution images. These issues can be addressed using cryo-EM, which uses frozen samples and gentler electron beams. The technique was developed by Jacques Dubochet, Joachim Frank, and Richard Henderson, for...
4.3K
Fast Fourier Transform01:10

Fast Fourier Transform

950
The Fast Fourier Transform (FFT) is a computational algorithm designed to compute the Discrete Fourier Transform (DFT) efficiently. By breaking down the calculations into smaller, manageable sections, the FFT significantly reduces the computational complexity involved. Direct computation of an N-point DFT requires N2 complex multiplications, whereas the FFT algorithm needs only (N/2)log⁡2N multiplications, offering a much faster performance.
The computational efficiency of the FFT becomes...
950
Reconstruction of Signal using Interpolation01:10

Reconstruction of Signal using Interpolation

734
Signal processing techniques are essential for accurately converting continuous signals to digital formats and vice versa. When a continuous signal is sampled with a period T, the resulting sampled signal exhibits replicas of the original spectrum in the frequency domain, spaced at intervals equal to the sampling frequency. To handle this sampled signal, a zero-order hold method can be applied, which creates a piecewise constant signal by retaining each sample's value until the next...
734
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

757
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
757

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Preclinical evaluation of a multi-epitope mRNA vaccine platform for broad and durable SARS-CoV-2 protection.

Frontiers in immunology·2026
Same author

Revisiting deep information propagation: Fractal frontier and finite-size effects.

Neural networks : the official journal of the International Neural Network Society·2026
Same author

Revisiting PSF models: Unifying framework and high-performance implementation.

Journal of microscopy·2025
Same author

Membrane and vesicle structure detection in cryo-electron tomography based on deep learning.

Journal of structural biology·2025
Same author

Perturbative Fourier ptychographic microscopy for fast quantitative phase imaging.

Optics express·2025
Same author

Model-based temporal unmixing towards quantitative photo-switching optoacoustic tomography.

Optics express·2025
Same journal

Ultrastructural evidence of autophagy-related processes and mitochondrial remodeling in the myxozoan parasite Henneguya piaractus.

Journal of structural biology·2026
Same journal

Architecture and dynamics of a supramolecular oxygen transport system in human homogentisate 1,2-Dioxygenase.

Journal of structural biology·2026
Same journal

Connecting pathways between mineralized fibrocartilage and bone at the Achilles tendon insertion.

Journal of structural biology·2026
Same journal

Structural and functional characterization of thermostable EstS1 esterase for BHET degradation.

Journal of structural biology·2026
Same journal

Following the white rabbit: multiscale 2D3D correlative imaging of bone structure.

Journal of structural biology·2026
Same journal

The mantis shrimp eye imaged in 3D using 4th generation synchrotron multiscale phase contrast tomography.

Journal of structural biology·2026
See all related articles

Related Experiment Video

Updated: Feb 4, 2026

Preparation of High-Temperature Sample Grids for Cryo-EM
05:05

Preparation of High-Temperature Sample Grids for Cryo-EM

Published on: July 26, 2021

4.3K

Fast multiscale reconstruction for Cryo-EM.

Laurène Donati1, Masih Nilchian1, Carlos Oscar S Sorzano2

  • 1Biomedical Imaging Group, École polytechnique fédérale de Lausanne (EPFL), Station 17, CH-1015 Lausanne, Switzerland.

Journal of Structural Biology
|September 28, 2018
PubMed
Summary
This summary is machine-generated.

This study introduces a multiscale reconstruction framework for single-particle analysis (SPA). The new method enhances computational speed and robustness for 3D volume reconstruction, even in challenging imaging conditions.

Keywords:
Fast iterative reconstructionFull 3D regularizationMultiscale representationSingle-particle analysis

More Related Videos

Cryo-EM and Single-Particle Analysis with Scipion
09:06

Cryo-EM and Single-Particle Analysis with Scipion

Published on: May 29, 2021

4.4K
A Robust Single-Particle Cryo-Electron Microscopy cryo-EM Processing Workflow with cryoSPARC, RELION, and Scipion
13:43

A Robust Single-Particle Cryo-Electron Microscopy cryo-EM Processing Workflow with cryoSPARC, RELION, and Scipion

Published on: January 31, 2022

15.2K

Related Experiment Videos

Last Updated: Feb 4, 2026

Preparation of High-Temperature Sample Grids for Cryo-EM
05:05

Preparation of High-Temperature Sample Grids for Cryo-EM

Published on: July 26, 2021

4.3K
Cryo-EM and Single-Particle Analysis with Scipion
09:06

Cryo-EM and Single-Particle Analysis with Scipion

Published on: May 29, 2021

4.4K
A Robust Single-Particle Cryo-Electron Microscopy cryo-EM Processing Workflow with cryoSPARC, RELION, and Scipion
13:43

A Robust Single-Particle Cryo-Electron Microscopy cryo-EM Processing Workflow with cryoSPARC, RELION, and Scipion

Published on: January 31, 2022

15.2K

Area of Science:

  • Cryo-electron microscopy
  • Structural biology
  • Computational imaging

Background:

  • Single-particle analysis (SPA) is crucial for determining 3D structures of biological macromolecules.
  • Traditional reconstruction methods in SPA can be computationally intensive and sensitive to imaging artifacts.
  • Advanced iterative methods are desirable but often limited by reconstruction speed and stability.

Purpose of the Study:

  • To develop a novel multiscale reconstruction framework for SPA.
  • To improve the speed, robustness, and accuracy of 3D volume reconstruction in SPA.
  • To enable advanced iterative refinement procedures under adverse imaging conditions.

Main Methods:

  • Utilized a multiscale representation of 3D objects with scaled basis functions.
  • Formulated the reconstruction step as a discrete convolution, independent of projection directions.
  • Integrated the contrast transfer function (CTF) into the imaging matrix without additional computational cost.
  • Implemented full 3D regularization for enhanced stability.

Main Results:

  • Demonstrated that coarse-scale reconstructions are more robust to angular errors and faster.
  • Achieved significant gains in computational speed for the reconstruction process.
  • Successfully reconstructed 3D volumes at various scales from a benchmark dataset.
  • Showcased the framework's effectiveness in handling noisy data and angular misalignments.

Conclusions:

  • The multiscale framework offers a robust and efficient alternative to direct reconstruction methods in SPA.
  • The method stabilizes iterative refinement and improves results under challenging imaging conditions.
  • The fast, scalable reconstruction algorithm facilitates advanced computational strategies in structural biology.
  • The framework is implemented within the Scipion package for broader accessibility.