EMPIAR-12397 - Single Particle cryo-EM dataset of the conventional 50S ribosomal subunit [11121 multi-frame micrographs composed of 693 frames each in EER format]

EMPIAR-12397

Single Particle cryo-EM dataset of the conventional 50S ribosomal subunit [11121 multi-frame micrographs composed of 693 frames each in EER format]

Publication:

Laser flash melting cryo-EM samples to overcome preferred orientation

Straub MS, Harder OF, Mowry NJ, Barrass SV, Hruby J, Drabbels M, Lorenz UJ

Nature methods 22 (2025) 1880-1886

PMID: 40877464

DOI: 10.1038/s41592-025-02796-y

Related EMDB entry:

EMD-51747

Deposited:

2024-11-04

Released:

2025-07-25

Last modified:

2025-07-25

Imageset size:

3.09 TB

Imageset DOI:

10.6019/EMPIAR-12397

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Raw micrographs of conventional 50S ribosomal subunit

Category:

micrographs - multiframe

Image format:

EER

No. of images or tilt series:

11121

Image size:

(4096, 4096)

Pixel type:

BIT

Pixel spacing:

(0.658, 0.658)

Details:

---

Files:

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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)

Unbend, correction of local beam-induced sample motion in cryo-EM images using a 3D spline model.

Kong L, Zottig X, Elferich J, Grigorieff N. (2026)

Dual site targeting of the bacterial 70S ribosome by tetracyclines.

Devarkar SC, Lomakin IB, Wang J, Grada A, Bunick CG. (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)

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)

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

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

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)

See all citations

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