EMPIAR-10029 - A simulated cryoEM data set of GroEL particles [stack of 10000 particles in MRC format]

EMPIAR-10029

A simulated cryoEM data set of GroEL particles [stack of 10000 particles in MRC format]

Publication:

Related EMDB entry:

Deposited:

2015-05-26

Released:

2015-06-18

Last modified:

2023-01-25

Imageset size:

1.50 GB

Imageset DOI:

10.6019/EMPIAR-10029

Experimental metadata:

Download xml json

Contains:

picked particles - multiframe - unprocessed

Image Sets

1. In-silico-generated particle stack

Category:

picked particles - multiframe - unprocessed

Image format:

MRC

No. of images or tilt series:

10000

Image size:

(200, 200)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(1.42, 1.42)

Details:

10000 particles in 50 mrcs image stacks: micrograph_001.mrcs -> micrograph_050.mrcs
Please see the README.md file in the /data directory.
/data/micrograph_param.emx contains information about particle defoci and transformation in EMX format
/data/params contains text files with the defoci and transformation of individual particle images (micrograph_001.params -> micrograph_050.params)

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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)