EMPIAR-10474 - EER movies of human light chain apoferritin [multiple data sets in EER format]

EMPIAR-10474

EER movies of human light chain apoferritin [multiple data sets in EER format]

Publication:

Electron Event Representation (EER) data enables efficient cryoEM file storage with full preservation of spatial and temporal resolution

Guo H, Franken E, Deng Y, Benlekbir S, Singla Lezcano G, Janssen B, Yu L, Ripstein ZA, Tan YZ, Rubinstein JL

bioRxiv (2020)

DOI: 10.1101/2020.04.28.066795

Related EMDB entry:

EMD-22351 EMD-22350 EMD-22347 EMD-22349 EMD-22348 EMD-22346

Deposited:

2020-07-24

Released:

2021-05-25

Last modified:

2021-05-25

Imageset size:

689.44 GB

Imageset DOI:

10.6019/EMPIAR-10474

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Falcon3 EER movies of human light chain apoferritin at 75000 nominal magnification used for intra-fraction motion correction experiment

Category:

micrographs - multiframe

Image format:

EER

No. of images or tilt series:

326

Image size:

(4096, 4096)

Pixel type:

BIT

Pixel spacing:

(1.06, 1.06)

Details:

---

Files:

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2. Falcon4 EER movies of human light chain apoferritin at 47000 nominal magnification used for super-resolution experiment

Category:

micrographs - multiframe

Image format:

EER

No. of images or tilt series:

100

Image size:

(4096, 4096)

Pixel type:

BIT

Pixel spacing:

(1.64, 1.64)

Details:

---

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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