Electron Tomography

10 papers with code • 0 benchmarks • 0 datasets

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Latest papers with no code

Tracing and segmentation of molecular patterns in 3-dimensional cryo-et/em density maps through algorithmic image processing and deep learning-based techniques

no code yet • 26 Mar 2024

Understanding the structures of biological macromolecules is highly important as they are closely associated with cellular functionalities.

Imaging structurally dynamic ribosomes with cryogenic electron microscopy

no code yet • 30 Aug 2023

Throughout the history of electron microscopy, ribosomes have served as an ideal subject for imaging and technological development, which in turn has driven our understanding of ribosomal biology.

Implicit Reconstructions from Deformed Projections for CryoET

no code yet • 25 Jul 2023

Cryo-electron tomography (cryoET) is a technique that captures images of biological samples at different tilts, preserving their native state as much as possible.

CryoET reveals organelle phenotypes in huntington disease patient iPSC-derived and mouse primary neurons

no code yet • Nature Communications 2023

Knockdown of Protein Inhibitor of Activated STAT1 ameliorated aberrant phenotypes in iPSC- and BACHD neurons.

SHREC 2021: Classification in cryo-electron tomograms

no code yet • 18 Mar 2022

To promote innovation in computational methods, we generate a novel simulated dataset to benchmark different methods of localization and classification of biological macromolecules in tomograms.

SparseAlign: A Super-Resolution Algorithm for Automatic Marker Localization and Deformation Estimation in Cryo-Electron Tomography

no code yet • 21 Jan 2022

The state-of-the-art approach for deformation estimation uses (semi-)manually labelled marker locations in projection data to fit the parameters of a polynomial deformation model.

A Deep Learning Approach for Semantic Segmentation of Unbalanced Data in Electron Tomography of Catalytic Materials

no code yet • 18 Jan 2022

Our adopted U-Net model with the weighted focal loss function achieved an average DSC score of 0. 96 $\pm$ 0. 003 in the $\gamma$-Alumina support material and 0. 84 $\pm$ 0. 03 in the Pt NPs segmentation tasks.

Cryo-shift: Reducing domain shift in cryo-electron subtomograms with unsupervised domain adaptation and randomization

no code yet • 17 Nov 2021

Cryo-Electron Tomography (cryo-ET) is a 3D imaging technology that enables the visualization of subcellular structures in situ at near-atomic resolution.

Disentangling semantic features of macromolecules in Cryo-Electron Tomography

no code yet • 27 Jun 2021

Cryo-electron tomography (Cryo-ET) is a 3D imaging technique that enables the systemic study of shape, abundance, and distribution of macromolecular structures in single cells in near-atomic resolution.

Algorithms from Invariants: Smoothed Analysis of Orbit Recovery over $SO(3)$

no code yet • 4 Jun 2021

Our main result is a quasi-polynomial time algorithm for orbit recovery over $SO(3)$ in this model.