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:

78.13 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.

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Citations

High-resolution ab initio reconstruction enables cryo-EM structure determination of small particles

Kim K, Li H, Clarke OB. (2025)

CLEM-Reg: an automated point cloud-based registration algorithm for volume correlative light and electron microscopy.

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Self-supervised learning for generalizable particle picking in cryo-EM micrographs.

Zamanos A, Koromilas P, Bouritsas G, Kastritis PL, Panagakis Y. (2025)

Laser flash melting cryo-EM samples to overcome preferred orientation.

Straub MS, Harder OF, Mowry NJ, Barrass SV, Hruby J, Drabbels M, Lorenz UJ. (2025)

In situ structure determination of conformationally flexible targets using nextPYP.

Liu HF, Zhou Y, Huang Q, Martin J, Bartesaghi A. (2025)

CryoPROS: Correcting misalignment caused by preferred orientation using AI-generated auxiliary particles.

Zhang H, Zheng D, Wu Q, Yan N, Peng H, Hu Q, Peng Y, Yan Z, Shi Z, Bao C, Hu M. (2025)

Few-shot learning for non-vitrified ice segmentation.

Vivas-Lago A, Castaño-Díez D. (2025)

Automated removal of corrupted tilts in cryo-electron tomography.

Majtner T, Turoňová B. (2025)

Probabilistic single-particle cryo-EM ab initio 3D reconstruction in SIMPLE.

Van CTS, Reboul CF, Caesar JJE, Meana-Pañeda R, Lountos GT, Deme JC, Bryant OJ, Johnson S, Piczak CT, Valkov E, Lea SM, Elmlund H. (2025)

Reanalysis of cryo-EM data reveals ALK-cytokine assemblies with both 2:1 and 2:2 stoichiometries.

Felix J, De Munck S, Bazan JF, Savvides SN. (2025)

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