EMPIAR-10408 - Single particle cryo-EM dataset of mouse heavy chain apoferritin collected on cryoARM300 [3487 multi-frame micrographs composed of 80 frames each in MRC format]

EMPIAR-10408

Single particle cryo-EM dataset of mouse heavy chain apoferritin collected on cryoARM300 [3487 multi-frame micrographs composed of 80 frames each in MRC format]

Publication:

Assessing the JEOL CRYO ARM 300 for high-throughput automated single-particle cryo-EM in a multiuser environment

Fislage M, Shkumatov A, Stroobants AV, Efremov RG

IUCrJ 7 (2020) 707-718

PMID: 32695417

DOI: 10.1107/s2052252520006065

Related EMDB entry:

EMD-10675

Deposited:

2020-04-22

Released:

2020-12-09

Last modified:

2020-12-09

Imageset size:

522.56 GB

Imageset DOI:

10.6019/EMPIAR-10408

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. raw uncorrected multiframe micrographs of mouse heavy chain apoferritin

Category:

micrographs - multiframe

Image format:

MRC

No. of images or tilt series:

3487

Image size:

(3838, 3710)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.603, 0.603)

Details:

dataset of mouse heavy chain apoferritin collected on cryoARM300. 80 frames 0.1s exposure per frame, 0.6e/Å2. Data are in tif format, not gain corrected.
The gain reference file is CountRef_20190326_ApoFerritin_Au.mrc

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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.

Krentzel D, Elphick M, Domart MC, Peddie CJ, Laine RF, Shand C, Henriques R, Collinson LM, Jones ML. (2025)

CryoEMNet driven symmetry-aware molecular reconstruction through deep learning enhanced electron microscopy.

Arora S, Pan SH, Kumar S, Singh SK, Chauhan U, Alhalabi W, Arya V, Alsulami BS, Hsu CH, Chui KT, Gupta BB. (2025)

PERC: a suite of software tools for the curation of cryoEM data with application to simulation, modeling and machine learning.

Costa-Gomes B, Greer J, Juraschko N, Parkhurst J, Mirecka J, Famili M, Rangel-Smith C, Strickson O, Lowe A, Basham M, Burnley T. (2025)

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)

EMICSS: added-value annotations for EMDB entries.

Duraisamy AK, Fonseca N, Kleywegt GJ, Patwardhan A, Morris KL. (2025)

Global conformations of <i>Pichia pastoris</i> complex I are distinguished by the binding of a unique interdomain bridging subunit.

Lee CS, Grba DN, Wright JJ, Ivanov BS, Hirst J. (2025)

Overcoming Preferred Orientation in Cryo-EM With Ultrasonic Excitation During Vitrification

Williams HM, Curtis WA, Haubner M, Hruby J, Drabbels M, Lorenz UJ. (2025)

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