EMPIAR-11651 - Graphene-sandwiched 20S proteasome [50 multi-frame micrographs composed of 32 frames each in MRCS format]

EMPIAR-11651

Graphene-sandwiched 20S proteasome [50 multi-frame micrographs composed of 32 frames each in MRCS format]

Publication:

Graphene sandwich-based biological specimen preparation for cryo-EM analysis

Liu N, Xu J, Wang HW

(---)

Related EMDB entry:

EMD-37158

Deposited:

2023-08-11

Released:

2024-02-26

Last modified:

2024-02-26

Imageset size:

30.99 GB

Imageset DOI:

10.6019/EMPIAR-11651

Experimental metadata:

Download xml json

Compressed by PDBj:

Image formats and pixel types shown below are those of the original, non-compressed files.

Movies in this entry (graphene_sandwich_20s_movie/*.mrcs) were compressed to TIFF by EMPIAR Japan to save space and bandwidth.
The compression is lossless in that all pixel intensities remain exactly the same after decompression.
However, some metadata in the MRC header were lost.
The original files before compression are available from EMPIAR EBI.

Original size:   147,312,054 kilobytes
Compressed size:  30,258,751 kilobytes

Contains:

micrographs - multiframe

Image Sets

1. Unaligned multi-frame micrographs of graphene-sandwiched 20S proteasome

Category:

micrographs - multiframe

Image format:

MRCS

No. of images or tilt series:

Image size:

(11520, 8184)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.4187, 0.4187)

Details:

---

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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)

Self-supervised learning for generalizable particle picking in cryo-EM micrographs.

Zamanos A, Koromilas P, Bouritsas G, Kastritis PL, Panagakis Y. (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)

Cryo-EM Structure Reconstruction by Gaussian Splatting: Pushing the Resolution to Extreme

Zeng B, Liu S, Cheng S, Xu G, Fan H. (2025)

Molecular exaptation by the integrin αI domain.

Hollis JA, Chan MC, Malik HS, Campbell MG. (2025)

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