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Cryo-electron Microscopy

Cryo-electron Microscopy

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...

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Related Experiment Video

Updated: Jan 5, 2026

Routine Collection of High-Resolution cryo-EM Datasets Using 200 KV Transmission Electron Microscope

Routine Collection of High-Resolution cryo-EM Datasets Using 200 KV Transmission Electron Microscope

Published on: March 16, 2022

Molstack: A platform for interactive presentations of electron density and cryo-EM maps and their interpretations.

Przemyslaw J Porebski¹, Grzegorz Bokota^1,2, Barat S Venkataramany¹

¹Department of Molecular Physiology & Biological Physics, University of Virginia, Charlottesville, Virginia.

Protein Science : a Publication of the Protein Society

|October 13, 2019

Summary

Molstack is a cloud-based platform for sharing and visualizing protein electron density maps. User feedback drove platform developments, enhancing its use for presenting experimental data and model interpretations.

Keywords:

cryo-EM crystallography data interpretation validation visualization

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Last Updated: Jan 5, 2026

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Published on: March 16, 2022

Author Spotlight: Exploring Cellular Processes by Modeling Ligands in Cryo-EM Maps

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Published on: July 29, 2021

Area of Science:

Structural Biology
Computational Biology
Biochemistry

Background:

Molstack, introduced in 2018, is a cloud-based platform designed for sharing electron density maps and their interpretations.
It enables interactive visualization and pairwise comparison of multiple datasets and models.

Purpose of the Study:

To present developments in the Molstack platform driven by user feedback.
To highlight use cases where Molstack enhanced scientific publications.
To discuss future directions for the platform.

Main Methods:

The study details user-driven enhancements to the Molstack platform.
It showcases diverse applications through case examples.
The methodology involves analyzing user feedback and publication impacts.

Main Results:

Researchers utilized Molstack for presenting experimental evidence (electron density maps, omit maps, anomalous difference density maps).
Molstack facilitated the display of alternative interpretations, model superpositions, and collaborative projects.
User feedback led to significant platform developments and expanded use cases.

Conclusions:

Molstack has proven to be a versatile tool beyond its initial concept, supporting various aspects of structural biology research.
User-driven development has enhanced its utility for data visualization, interpretation, and scientific communication.
The platform shows promise for continued evolution in protein science tools.