mlsanityData to 7 Oct 2026

A Deep Learning Method for Simultaneous Denoising and Missing Wedge Reconstruction in Cryogenic Electron Tomography

arXiv 2311.05539 ↗First posted 9 Nov 2023cs.CV cs.LGcited by 7

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Abstract (arXiv)

Cryogenic electron tomography is a technique for imaging biological samples in 3D. A microscope collects a series of 2D projections of the sample, and the goal is to reconstruct the 3D density of the sample called the tomogram. Reconstruction is difficult as the 2D projections are noisy and can not be recorded from all directions, resulting in a missing wedge of information. Tomograms conventionally reconstructed with filtered back-projection suffer from noise and strong artifacts due to the missing wedge. Here, we propose a deep-learning approach for simultaneous denoising and missing wedge reconstruction called DeepDeWedge. The algorithm requires no ground truth data and is based on fitting a neural network to the 2D projections using a self-supervised loss. DeepDeWedge is simpler than current state-of-the-art approaches for denoising and missing wedge reconstruction, performs competitively and produces more denoised tomograms with higher overall contrast.

Key facts. Cited by 7 papers in the map (data through 7 Oct 2026). Builds on 13 of its 49 references that are in the map. First posted on arXiv 9 Nov 2023.

Builds on

13 of 49 references.

References · 13

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1 more
  1. 2023Analyzing the Sample Complexity of Self-Supervised Image Reconstruction Methodscited by 8

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 2; 2026: 5.

7 papers.

  1. 2025Noisier2Inverse: Self-Supervised Learning for Image Reconstruction with Correlated Noisecited by 5
  2. 2025Limited-Angle Tomography Reconstruction via Projector Guided 3D Diffusioncited by 0
  3. 2026CryoLVM: Self-supervised Learning from Cryo-EM Density Maps with Large Vision Modelscited by 0
  4. 2026Cryo-SWAN: the Multi-Scale Wavelet-decomposition-inspired Autoencoder Network for molecular density representation of molecular volumescited by 0
  5. 2026Physen-Noise2Noise: Physics-Guided Self-Supervised Defocus Deblurring with Bias Correction under Low-Light Conditionscited by 0
  6. 2026Unsupervised Deep Image Prior for Sparse-View and Limited-Angle Electron Tomographycited by 0
  7. 2026Advanced Brain Tissue Imaging with Data-Consistent Diffusion Priors in Laminographic X-Ray Nanoimagingcited by 0