EMPIAR-10267 - Cryo-EM reconstruction of CFA/I pili [2884 micrographs in SPIDER format]

EMPIAR-10267

Cryo-EM reconstruction of CFA/I pili [2884 micrographs in SPIDER format]

Publication:

Cryo-EM structure of the CFA/I pilus rod

Zheng W, Andersson M, Mortezaei N, Bullitt E, Egelman E

IUCrJ 6 (2019) 815-821

PMID: 31576215

DOI: 10.1107/S2052252519007966

Related EMDB entry:

EMD-0497

Deposited:

2019-04-11

Released:

2020-04-21

Last modified:

2019-04-12

Imageset size:

183.23 GB

Imageset DOI:

10.6019/EMPIAR-10267

Experimental metadata:

Download xml json

Contains:

micrographs - single frame

Image Sets

1. motion-corrected micrographs of CFA/I pili

Category:

micrographs - single frame

Image format:

SPIDER

No. of images or tilt series:

2884

Image size:

(4096, 4096)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(1.09, 1.09)

Details:

The micrographs are the motion-corrected,aligned of 31 raw movie frames.

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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)