EMPIAR-11377 - Translating 70S ribosome [19449 multi-frame micrographs composed of 1295 frames each in EER format]

EMPIAR-11377

Translating 70S ribosome [19449 multi-frame micrographs composed of 1295 frames each in EER format]

Publication:

The translating bacterial ribosome at 1.55 Å resolution by open access cryo-EM

Fromm SA, O'Connor KM, Purdy M, Bhatt PR, Loughran G, Atkins JF, Jomaa A, Mattei S

BioRxiv (---)

DOI: 10.1101/2022.08.30.505838

Related EMDB entry:

EMD-15793

Deposited:

2022-09-09

Released:

2023-01-30

Last modified:

2023-01-30

Imageset size:

7.11 TB

Imageset DOI:

10.6019/EMPIAR-11377

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Translating 70S ribosome

Category:

micrographs - multiframe

Image format:

EER

No. of images or tilt series:

19449

Image size:

(4096, 4096)

Pixel type:

BIT

Pixel spacing:

(0.731, 0.731)

Details:

total dose is 40 e/A^2; 16 exposures per stage shift using beam image shift in SerialEM; movie suffix *_1-1.eer to *_1-16.eer reflects the respective position in the multi-shot exposure pattern. Movies are not gain corrected. Gain reference is provided: 20211220_115912_EER_GainReference.gain

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Citations

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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)