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Related Concept Videos

Cryo-electron Microscopy01:28

Cryo-electron Microscopy

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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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¹H NMR of Conformationally Flexible Molecules: Variable-Temperature NMR01:15

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The axial and equatorial protons in cyclohexane can be distinguished by performing a variable-temperature NMR experiment. In this process, except for one proton, the remaining eleven protons are replaced by deuterium. The deuterium substitution avoids the possible peak splitting caused by the spin-spin coupling between the adjacent protons. The remaining proton flips between the axial and equatorial positions.
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Deconvolution01:20

Deconvolution

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Deconvolution, also known as inverse filtering, is the process of extracting the impulse response from known input and output signals. This technique is vital in scenarios where the system's characteristics are unknown, and they must be inferred from the observable signals.
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¹H NMR of Conformationally Flexible Molecules: Temporal Resolution00:52

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At room temperature, the chair conformer of cyclohexane undergoes rapid ring flipping between two equivalent chair conformers at a rate of approximately 105 times per second. These two chair conformers are in equilibrium. The rapid ring flipping results in the interconversion of the axial proton to an equatorial proton and an equatorial to the axial proton. Such interconversions are too rapid and cannot be detected on the NMR timescale. Hence, the NMR spectrometer cannot distinguish between the...
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Electron Microscope Tomography and Single-particle Reconstruction01:07

Electron Microscope Tomography and Single-particle Reconstruction

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Transmission electron microscopy (TEM) can be used to determine the 3D structure of biological samples with the help of techniques such as electron microscope tomography and single-particle reconstruction. While single-particle reconstruction can examine macromolecules and macromolecular complexes in vitro conditions only, tomography permits the study of cell components or small cells in vivo.
Electron Tomography
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Related Experiment Video

Updated: Mar 14, 2026

Deep Learning-Based Segmentation of Cryo-Electron Tomograms
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3DDF-VAE: Dual-frequency variational autoencoder with pose-consistency validation for rare cryo-EM conformation

Yuanbo Chen1, Fuwei Li1, Hao Dong1

  • 1Key Laboratory of Brain Health Intelligent Evaluation and Intervention, Beijing Institute of Technology, Ministry of Education, Beijing, 100081, China; School of Medical Technology, Beijing Institute of Technology, Beijing, 100081, China.

Journal of Structural Biology
|March 12, 2026
PubMed
Summary

This study introduces a novel dual-stage pipeline for cryo-electron microscopy (cryo-EM) to reconstruct rare biomolecular conformations. The method enhances structural detail and improves the detection of low-abundance states, advancing molecular imaging.

Keywords:
Conformational heterogeneityFrequency separationRare conformationSingle-particle analysisVariational autoencoder

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Area of Science:

  • Structural Biology
  • Biophysics
  • Computational Biology

Background:

  • Understanding biomolecular function requires revealing 3D conformational variability.
  • Cryo-EM reconstruction of rare states is challenging due to data imbalance and loss of structural detail in generative models.

Purpose of the Study:

  • To develop an advanced computational framework for high-resolution cryo-EM reconstruction of rare biomolecular conformations.
  • To improve the detection and characterization of conformational heterogeneity in complex biological systems.

Main Methods:

  • A dual-stage pipeline integrating a generative and a validation stage.
  • Utilized a 3D dual-frequency variational autoencoder (3DDF-VAE) to model low- and high-frequency components of protein density maps separately.
  • Employed a pose-consistency projection strategy for validation against 2D cryo-EM particles.

Main Results:

  • Generated high-quality cryo-EM density maps for complex biomolecules, including integrin αVβ8, T50S ribosome, and SARS-CoV-2 spike protein.
  • Successfully identified rare biomolecular conformations and reconstructed plausible intermediate states.
  • Ablation studies confirmed the advantages of frequency separation and parameter optimization for improved resolution and rare state detection.

Conclusions:

  • The integrated generative-validation framework significantly enhances resolution and rare conformation detection in cryo-EM.
  • This data-driven approach provides a powerful tool for exploring conformational heterogeneity in complex biomolecular systems.
  • The method advances the capabilities of cryo-EM for functional and structural studies of biomolecules.