EMPIAR-10491 - Apoferritin tilt series and frame series used to benchmark the resolution of both data types in M [multiple data sets in TIFF format]

EMPIAR-10491

Apoferritin tilt series and frame series used to benchmark the resolution of both data types in M [multiple data sets in TIFF format]

Publication:

Multi-particle cryo-EM refinement with M visualizes ribosome-antibiotic complex at 3.7 Å inside cells

Tegunov D, Xue L, Dienemann C, Cramer P, Mahamid J

bioRxiv (2020)

DOI: 10.1101/2020.06.05.136341

Related EMDB entry:

EMD-11603

Deposited:

2020-08-07

Released:

2020-12-02

Last modified:

2020-12-02

Imageset size:

42.52 GB

Imageset DOI:

10.6019/EMPIAR-10491

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe
tilt series

Image Sets

1. Unaligned frame series of apoferritin

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

127

Image size:

(5760, 4092)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.834, 0.834)

Details:

Dose = 0.88 e-/A^2/frame
Gain reference needs flipping along the Y axis

Files:

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2. Unaligned tilt movies of apoferritin and corresponding MDOC metadata

Category:

tilt series

Image format:

TIFF

No. of images or tilt series:

Image size:

(5760, 4092)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.834, 0.834)

Details:

Dose = 0.88 e-/A^2/frame
Gain reference needs flipping along the Y axis

Files:

Archives and downloads the selected files into an uncompressed zip file.

We recommend using rsync, aspera, globus, etc.

Download a list of selected files.

It is possible to download files by specifying the file list with rsync command, etc.

rsync -av --files-from=(path-to-filelist) rsync://empiar.pdbj.org/empiar/archive (path-to-destination)

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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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