EMPIAR-10089 - Single Particle cryoEM Dataset of TcdA1 in prepore state (SPHIRE tutorial) [97 multi-frame micrographs composed of 24 frames each in MRCS format]

EMPIAR-10089

Single Particle cryoEM Dataset of TcdA1 in prepore state (SPHIRE tutorial) [97 multi-frame micrographs composed of 24 frames each in MRCS format]

Publication:

High-resolution Single Particle Analysis from Electron Cryo-microscopy Images Using SPHIRE

Moriya T, Saur M, Stabrin M, Merino F, Voicu H, Huang Z, Penczek P, Raunser S, Gatsogiannis C

Journal of Visualised Experiments (---)

Related EMDB entry:

EMD-3645

Deposited:

2017-03-21

Released:

2017-05-24

Last modified:

2017-05-24

Imageset size:

72.76 GB

Imageset DOI:

10.6019/EMPIAR-10089

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Unaligned multi-frame micrographs of TcdA1 in prepore state (SPHIRE tutorial dataset)

Category:

micrographs - multiframe

Image format:

MRCS

No. of images or tilt series:

Image size:

(4096, 4096)

Pixel type:

UNSIGNED 16 BIT INTEGER

Pixel spacing:

(1.14, 1.14)

Details:

The micrographs contain the unaligned raw movie frames (24 frames/micrograph). The corresponding .box files, contain the particle XY positions in EMAN1 format.

Files:

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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)