EMPIAR-10186 - T. acidophilum 20S proteasome core movies obtained using Talos Arctica operating at 200 kV equipped with a K2 – image shift used for exposure target navigation [262 multi-frame micrographs composed of 68 frames each in MRC format]

EMPIAR-10186

T. acidophilum 20S proteasome core movies obtained using Talos Arctica operating at 200 kV equipped with a K2 – image shift used for exposure target navigation [262 multi-frame micrographs composed of 68 frames each in MRC format]

Publication:

Achieving better-than-3-Å resolution by single-particle cryo-EM at 200 keV

Herzik Jr MA, Wu M, Lander GC

Nature methods 14 (2017) 1075-1078

PMID: 28991891

DOI: 10.1038/nmeth.4461

Related EMDB entry:

EMD-8742

Deposited:

2018-05-03

Released:

2018-05-11

Last modified:

2018-05-11

Imageset size:

945.46 GB

Imageset DOI:

10.6019/EMPIAR-10186

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Raw, unaligned movie stacks of T. acidophilum 20S proteasome core acquired on a Talos Arctica using a K2 direct electron detector - image shift used for exposure navigation

Category:

micrographs - multiframe

Image format:

MRC

No. of images or tilt series:

262

Image size:

(7420, 7676)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.46, 0.46)

Details:

Raw, unaligned super-resolution frame stacks (68 frames) of T. acidophilum 20S proteasome core in vitreous ice imaged on a Talos Arctica using a K2 direct electron detector - image shift used for exposure navigation. Images used for normalizations are also included.

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Citations

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

He L, Bartesaghi A. (2026)

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)

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)