EMPIAR-10961 - CryoEM structure of T20S proteasome at 3A from Tundra, 100kV microscope [5176 multi-frame micrographs composed of 18 frames each in MRC format]

EMPIAR-10961

CryoEM structure of T20S proteasome at 3A from Tundra, 100kV microscope [5176 multi-frame micrographs composed of 18 frames each in MRC format]

Publication:

CryoEM structure of T20S proteasome at 3A from Tundra, 100kV microscope

Karia D, Koh AF, Yu L, Kotecha A

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Related EMDB entry:

EMD-14249

Deposited:

2022-02-07

Released:

2022-02-25

Last modified:

2022-02-25

Imageset size:

1.24 TB

Imageset DOI:

10.6019/EMPIAR-10961

Experimental metadata:

Download xml json

Compressed by PDBj:

Image formats and pixel types shown below are those of the original, non-compressed files.

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Contains:

micrographs - multiframe

Image Sets

1. T20S imaged on 100kV Tundra

Category:

micrographs - multiframe

Image format:

MRC

No. of images or tilt series:

5176

Image size:

(4096, 4096)

Pixel type:

SIGNED 16 BIT INTEGER

Pixel spacing:

(0.7512, 0.7512)

Details:

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Citations

prismPYP: Power-spectrum and image domain learning for self-supervised micrograph evaluation.

He L, Bartesaghi A. (2026)

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Chart builder: an interactive tool for user driven data visualization in the electron microscopy data bank.

Fonseca N, Duraisamy AK, Wang Z, Somasundharam S, Tayebinia M, de Oliveira LC, Ma M, Turner J, Patwardhan A, Kleywegt GJ, Hartley M, Morris KL. (2026)

CryoVirusDB: An Annotated Dataset for AI-Based Virus Particle Identification in Cryo-EM Micrographs.

Gyawali R, Dhakal A, Wang L, Cheng J. (2026)

Deep-learning methods for contrast enhancement and artifact reduction in cryo-electron tomography: a systematic analysis of the state of the art and proposed improvements.

Jones HN, Deshmukh A, Pande K. (2026)

CryoGS: High-Quality Cryo-EM Homogeneous Reconstruction by Gaussian Splatting

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Point cloud deformation modeling for particle selection following cryo-EM 2D classification.

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ICECREAM: high-fidelity equivariant cryo-electron tomography.

Kishore V, Debarnot V, Righetto RD, Engel BD, Dokmanić I. (2026)

CryoSift: an accessible and automated CNN-driven tool for cryo-EM 2D class selection.

Schäfer JH, Calza A, Hom K, Damodar P, Peng R, Bogdanović N, Lander GC, Stagg SM, Cianfrocco MA. (2025)