mlsanityData to 7 Oct 2026

Robust single-particle cryo-EM image denoising and restoration

arXiv 2401.01097 ↗First posted 2 Jan 2024cs.CVcited by 1

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Abstract (arXiv)

Cryo-electron microscopy (cryo-EM) has achieved near-atomic level resolution of biomolecules by reconstructing 2D micrographs. However, the resolution and accuracy of the reconstructed particles are significantly reduced due to the extremely low signal-to-noise ratio (SNR) and complex noise structure of cryo-EM images. In this paper, we introduce a diffusion model with post-processing framework to effectively denoise and restore single particle cryo-EM images. Our method outperforms the state-of-the-art (SOTA) denoising methods by effectively removing structural noise that has not been addressed before. Additionally, more accurate and high-resolution three-dimensional reconstruction structures can be obtained from denoised cryo-EM images.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 8 of its 22 references that are in the map. First posted on arXiv 2 Jan 2024.

Builds on

8 of 22 references.

References · 8

  1. 2020Denoising Diffusion Probabilistic Modelscited by 20,851
  2. 2015U-Net: Convolutional Networks for Biomedical Image Segmentationcited by 19,604
  3. 2021Image Super-Resolution via Iterative Refinementcited by 1,506
  4. 2018Noise2Noise: Learning Image Restoration without Clean Datacited by 526
  5. 2018Positive-unlabeled convolutional neural networks for particle picking in cryo-electron micrographscited by 23
  6. 2016Denoising and Covariance Estimation of Single Particle Cryo-EM Imagescited by 10
  7. 2019Image recovery from rotational and translational invariantscited by 3
  8. 2020Generative Adversarial Networks for Robust Cryo-EM Image Denoisingcited by 2

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Citing papers per year: 2025: 1.

1 paper.

  1. 2025Uncertainty-Guided Selective Adaptation Enables Cross-Platform Predictive Fluorescence Microscopycited by 0

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  1. 2025cryoSENSE: Compressive Sensing Enables High-throughput Microscopy with Sparse and Generative Priors on the Protein Cryo-EM Image Manifold
  2. 2025CryoCCD: Conditional Cycle-consistent Diffusion with Biophysical Modeling for Cryo-EM Synthesis
  3. 2024Denoising diffusion models for high-resolution microscopy image restoration
  4. 2022Latent Space Diffusion Models of Cryo-EM Structures
  5. 2024CryoFM: A Flow-based Foundation Model for Cryo-EM Densities
  6. 2023Reference-Free Isotropic 3D EM Reconstruction using Diffusion Models
  7. 2024Diffusion priors for Bayesian 3D reconstruction from incomplete measurements
  8. 2025DIFFRACT: Diffusion-based Restoration via Adaptive Control and Thresholding for Diffraction Imaging