EMPIAR-11932 - Cryo electron microscopy of Zaire Ebolavirus virus-like particles [5897 multi-frame micrographs composed of 60 frames each in TIFF format]

EMPIAR-11932

Cryo electron microscopy of Zaire Ebolavirus virus-like particles [5897 multi-frame micrographs composed of 60 frames each in TIFF format]

Publication:

Structural basis of Ebola virus nucleocapsid assembly and functions

Fujita-Fujiharu Y, Hu S, Hirabayashi A, Takamatsu Y, Ng YN, Houri K, Muramoto Y, Nakano M, Sugita Y, Noda T

bioRxiv (2024)

DOI: 10.1101/2024.02.19.580633

Related EMDB entry:

EMD-39081

Deposited:

2024-02-28

Released:

2026-03-06

Last modified:

2026-03-06

Imageset size:

1.45 TB

Imageset DOI:

10.6019/EMPIAR-11932

Experimental metadata:

Download xml json

Deposited via PDBj

Contains:

micrographs - multiframe

Image Sets

1. 5897 K3 movies in TIFF

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

5897

Image size:

(4096, 5760)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.88, 0.88)

Details:

- Please use gain.mrc as a gain reference without flipping or rotation.
- The dataset was collected with 3x3 image shifts. The shift direction
is indicated in the file name (e.g. "X+0Y+0").
Nine optics groups were created for data processing.
- The scope has a Cs corrector. The Cs after correction is 0.065 mm.
- The pixel size in the image header (0.87 Å/px) is not accurate.
The right value is 0.88 Å/px.
- The flux is 1.0 e/Å^2/frame.

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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)