EMPIAR-12021 - Cryo-EM of Tulane virus Inverted contrast [969 multi-frame micrographs composed of 45 frames each in MRC format]

EMPIAR-12021

Cryo-EM of Tulane virus Inverted contrast [969 multi-frame micrographs composed of 45 frames each in MRC format]

Publication:

The 2.6 Å Structure of a Tulane Virus Variant with Minor Mutations Leading to Receptor Change

Sun C, Huang P, Xu X, Vago FS, Li K, Klose T, Jiang XJ, Jiang W

Biomolecules 14 (2024)

PMID: 38254719

DOI: 10.3390/biom14010119

Related EMDB entry:

EMD-43222

Deposited:

2024-03-26

Released:

2024-07-04

Last modified:

2024-07-04

Imageset size:

374.94 GB

Imageset DOI:

10.6019/EMPIAR-12021

Experimental metadata:

Download xml json

Compressed by PDBj:

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

--- file not found ---

Contains:

micrographs - multiframe

Image Sets

1. Unaligned multiframe micrographs of Tulane virus variant with inverted contrast 5-12-18 dataset

Category:

micrographs - multiframe

Image format:

MRC

No. of images or tilt series:

969

Image size:

(7676, 7420)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.865, 0.865)

Details:

The pixel size of the raw movie is 0.865 angstrom. The total dose is 23 electron per angstrom square.

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

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)

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

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