EMPIAR-10136 - CryoET of apoferritin single particle [multiple data sets in MRC format]

EMPIAR-10136

CryoET of apoferritin single particle [multiple data sets 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-7145

Deposited:

2017-12-06

Released:

2017-12-18

Last modified:

2022-07-21

Imageset size:

49.55 GB

Imageset DOI:

10.6019/EMPIAR-10136

Experimental metadata:

Download xml json

Contains:

micrographs - single frame
tilt series

Image Sets

1. Whole-frame aligned tilt images along with all other magnification images from the collection

Category:

micrographs - single frame

Image format:

MRC

No. of images or tilt series:

Image size:

(3710, 3838)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(1.84, 1.84)

Details:

Whole-frame aligned with Motioncor2.

Files:

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Download a list of selected files.

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

2. Appion-Protomo tilt-series alignments

Category:

tilt series

Image format:

MRC

No. of images or tilt series:

Image size:

(3710, 3838)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(1.84, 1.84)

Details:

Includes a full tilt-series alignment run for 6 tilt-series. To view properly, navigate to the protomo_alignments folder in Appion-Protomo.

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)

Browse All Files

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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)

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)

See all citations

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