EMPIAR-10058 - Cryo-EM dataset of T20S proteasome [293 multi-frame micrographs composed of 12 frames each in MRC format]

EMPIAR-10058

Cryo-EM dataset of T20S proteasome [293 multi-frame micrographs composed of 12 frames each in MRC format]

Publication:

Cryo-EM single particle analysis with the Volta phase plate

Danev R, Baumeister W

eLife 5 (2016)

PMID: 26949259

DOI: 10.7554/eLife.13046

Related EMDB entry:

EMD-3348

Deposited:

2016-02-29

Released:

2016-03-16

Last modified:

2016-03-16

Imageset size:

93.25 GB

Imageset DOI:

10.6019/EMPIAR-10058

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Cryo-EM in-focus unaligned multi-frame micrographs of T20S proteasome

Category:

micrographs - multiframe

Image format:

MRC

No. of images or tilt series:

293

Image size:

(3838, 3710)

Pixel type:

SIGNED 16 BIT INTEGER

Pixel spacing:

(1.35, 1.35)

Details:

Particle coordinates are included as BOX files. Data acquisition settings are listed in the "acquisition_parameters.txt" file.

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Citations

CryoSIP: unleashing protein high-resolution Cryo-EM via semantic-instance collaborative picking.

Deng Y, Wang S, Xiang M, Li Y, Zhuo L, Cao D, Fu X, Zou Q. (2026)

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

He L, Bartesaghi A. (2026)

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

Zeng B, Liu S, Cheng S, Xu G, Fan H. (2026)

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

Wang X, Mo Z, Li F, Zhang F, Wan X. (2026)

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)