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

Cryo-electron Microscopy01:28

Cryo-electron Microscopy

4.1K
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...
4.1K

You might also read

Related Articles

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

Sort by
Same author

Conformational changes upon pore blocker removal reveal conductive states of TMEM16A.

The Journal of general physiology·2026
Same author

Staging and defect-limited intercalation of FeCl<sub>3</sub> in graphite electrodes.

Nature communications·2026
Same author

Unsupervised Segmentation and Clustering Workflow for Efficient Processing of 4D-STEM and 5D-STEM Data.

Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada·2026
Same author

Polyolefin blends with co-continuous architectures enabled by dynamic covalent crosslinking.

Science advances·2026
Same author

Inhibiting the interaction between the mitochondrial receptor Tom70 and SARS CoV 2 Orf9b with small molecules.

bioRxiv : the preprint server for biology·2026
Same author

Relaxing Direct Ptychography Sampling Requirements via Parallax Imaging Insights.

Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada·2026
Same journal

A human-specific genetic modifier reconfigures large-scale cortical network dynamics underlying behavioral performance.

bioRxiv : the preprint server for biology·2026
Same journal

<i>Staphylococcus aureus</i> uses a eukaryotic-like uridyltransferase to make UDP-GlcNAc for cell wall synthesis.

bioRxiv : the preprint server for biology·2026
Same journal

Dynamic redistribution of eIF4F controls cap-dependent translation initiation.

bioRxiv : the preprint server for biology·2026
Same journal

When does additional information improve accuracy of RNA secondary structure prediction?

bioRxiv : the preprint server for biology·2026
Same journal

Normative brain-state trajectories reveal deviation from healthy aging in Alzheimer's disease.

bioRxiv : the preprint server for biology·2026
Same journal

Noradrenergic infraslow rhythm during sleep is the critical link between heart-rate dynamics and memory consolidation.

bioRxiv : the preprint server for biology·2026
See all related articles

Related Experiment Video

Updated: Jan 8, 2026

Method to Visualize and Analyze Membrane Interacting Proteins by Transmission Electron Microscopy
10:49

Method to Visualize and Analyze Membrane Interacting Proteins by Transmission Electron Microscopy

Published on: March 5, 2017

13.8K

Comparing Multislice Projections of MD Simulations with CryoEM Exposes Structural Prediction Errors.

Arshad Mohammed1,2,3, James Lincoff4,5, Andrew Natale1

  • 1Bay Area Institute of Science, Altos Labs, Redwood City, CA 94065, USA.

Biorxiv : the Preprint Server for Biology
|December 19, 2025
PubMed
Summary
This summary is machine-generated.

Molecular dynamics (MD) simulations can now be directly compared to cryo-electron microscopy (cryoEM) images. This method validates MD predictions of biomolecular motion and reveals inaccuracies in current coarse-grained models for lipid membranes.

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

4.3K
The CryoAPEX Method for Electron Microscopy Analysis of Membrane Protein Localization Within Ultrastructurally-Preserved Cells
11:45

The CryoAPEX Method for Electron Microscopy Analysis of Membrane Protein Localization Within Ultrastructurally-Preserved Cells

Published on: February 27, 2020

10.1K

Related Experiment Videos

Last Updated: Jan 8, 2026

Method to Visualize and Analyze Membrane Interacting Proteins by Transmission Electron Microscopy
10:49

Method to Visualize and Analyze Membrane Interacting Proteins by Transmission Electron Microscopy

Published on: March 5, 2017

13.8K
Cryo-EM and Single-Particle Analysis with Scipion
09:06

Cryo-EM and Single-Particle Analysis with Scipion

Published on: May 29, 2021

4.3K
The CryoAPEX Method for Electron Microscopy Analysis of Membrane Protein Localization Within Ultrastructurally-Preserved Cells
11:45

The CryoAPEX Method for Electron Microscopy Analysis of Membrane Protein Localization Within Ultrastructurally-Preserved Cells

Published on: February 27, 2020

10.1K

Area of Science:

  • Structural Biology
  • Computational Biophysics
  • Biophysics

Background:

  • Cryo-electron microscopy (cryoEM) determines atomic-resolution structures, while molecular dynamics (MD) simulations predict molecular motion.
  • Direct experimental validation of MD predictions remains challenging.
  • MD simulations are crucial for interpreting cryoEM data and understanding biomolecular dynamics.

Purpose of the Study:

  • To develop and validate a method for directly comparing MD simulation outputs with experimental cryoEM data.
  • To assess the accuracy of MD simulations, particularly coarse-grained (CG) models, in reproducing experimental membrane structures.
  • To identify sources of error in MD simulations for lipid membrane dynamics.

Main Methods:

  • Utilized a physics-based multislice wave propagation algorithm to project MD trajectories (all-atom and CG) into simulated cryoEM 2D images and 3D reconstructions.
  • Compared simulated cryoEM images with experimental images of lipid membranes with varying curvature and composition.
  • Analyzed bilayer dimensions and membrane thickness from simulated and experimental data.

Main Results:

  • MD simulations qualitatively reproduced the fluidity and contrast of biological membranes observed in cryoEM.
  • All-atom (AA) MD simulations accurately predicted bilayer dimensions for simple lipid bilayers.
  • Martini3 CG-MD simulations failed to predict membrane thickness changes in complex lipid mixtures and high-curvature membranes, with errors attributed to polyunsaturated lipid tails and cholesterol.
  • Discrepancies between cryoEM and small-angle X-ray scattering (SAXS) data were explained.

Conclusions:

  • The developed multislice image simulation method enables direct comparison between MD simulations and cryoEM experiments.
  • Current CG-MD force fields, like Martini3, require refinement, especially for simulating complex lipid membranes containing cholesterol and polyunsaturated lipids.
  • This approach provides a pathway for improving MD force fields through direct experimental validation, leading to more accurate predictions of biomolecular dynamics.