EMPIAR-10187 - Rabbit muscle aldolase single particle [441 micrographs in MRC format]

EMPIAR-10187

Rabbit muscle aldolase single particle [441 micrographs in MRC format]

Publication:

Routine single particle CryoEM sample and grid characterization by tomography

Noble AJ, Dandey VP, Wei H, Brasch J, Chase J, Acharya P, Tan YZ, Zhang Z, Kim LY, Scapin G, Rapp M, Eng ET, Rice WJ, Cheng A, Negro CJ, Shapiro L, Kwong PD, Jeruzalmi D, des Georges A, Potter CS, Carragher B

eLife 7 (2018)

PMID: 29809143

DOI: 10.7554/elife.34257

Related EMDB entry:

EMD-7139

Deposited:

2018-05-10

Released:

2018-05-14

Last modified:

2022-03-22

Imageset size:

133.71 GB

Imageset DOI:

10.6019/EMPIAR-10187

Experimental metadata:

Download xml json

Contains:

micrographs - single frame

Image Sets

1. Unaligned, frame aligned, and frame aligned+dose weighted micrographs

Category:

micrographs - single frame

Image format:

MRC

No. of images or tilt series:

441

Image size:

(3710, 3838)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(1.061, 1.061)

Details:

Full Leginon data collection session. Includes all magnification images and ice thickness images (with and without energy filter). Three images are included for each exposure area: enn (unaligned frame sum), enn-a (aligned frame sum), and enn-a-DW (aligned frame sum with dose weighting). Frame alignment and dose weighting was performed with MotionCor2.

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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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