EMPIAR-10216 - Cryo-EM structure of mouse heavy-chain apoferritin at 1.62 A [1647 multi-frame micrographs composed of 59 frames each in MRC format]

EMPIAR-10216

Cryo-EM structure of mouse heavy-chain apoferritin at 1.62 A [1647 multi-frame micrographs composed of 59 frames each in MRC format]

Publication:

Cryo-Electron Microscopy Methodology: Current Aspects and Future Directions

Danev R, Yanagisawa H, Kikkawa M

Trends in biochemical sciences 44 (2019) 837-848

PMID: 31078399

DOI: 10.1016/j.tibs.2019.04.008

Related EMDB entry:

EMD-9599

Deposited:

2018-10-04

Released:

2018-10-25

Last modified:

2022-01-31

Imageset size:

1.18 TB

Imageset DOI:

10.6019/EMPIAR-10216

Experimental metadata:

Download xml json

Compressed by PDBj:

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

--- file not found ---

Contains:

micrographs - multiframe

Image Sets

1. RAW movies

Category:

micrographs - multiframe

Image format:

MRC

No. of images or tilt series:

1647

Image size:

(4096, 4096)

Pixel type:

UNSIGNED 16 BIT INTEGER

Pixel spacing:

(0.517, 0.517)

Details:

- Dataset details are in the "dataset_details.txt" file.
- "particles_data.star" provides information about all particles BEFORE polishing and CTF refinement
- "polished_CTFrefined_particles_data.star" provides information about all particles AFTER polishing and CTF refinement. Note: use this file for the refined defocus information. Particle coordinates may not be accurate

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Citations

prismPYP: Power-spectrum and image domain learning for self-supervised micrograph evaluation.

He L, Bartesaghi A. (2026)

CryoSIP: unleashing protein high-resolution Cryo-EM via semantic-instance collaborative picking.

Deng Y, Wang S, Xiang M, Li Y, Zhuo L, Cao D, Fu X, Zou Q. (2026)

Unbend, correction of local beam-induced sample motion in cryo-EM images using a 3D spline model.

Kong L, Zottig X, Elferich J, Grigorieff N. (2026)

Chart builder: an interactive tool for user driven data visualization in the electron microscopy data bank.

Fonseca N, Duraisamy AK, Wang Z, Somasundharam S, Tayebinia M, de Oliveira LC, Ma M, Turner J, Patwardhan A, Kleywegt GJ, Hartley M, Morris KL. (2026)

Dual site targeting of the bacterial 70S ribosome by tetracyclines.

Devarkar SC, Lomakin IB, Wang J, Grada A, Bunick CG. (2026)

CryoVirusDB: An Annotated Dataset for AI-Based Virus Particle Identification in Cryo-EM Micrographs.

Gyawali R, Dhakal A, Wang L, Cheng J. (2026)

Deep-learning methods for contrast enhancement and artifact reduction in cryo-electron tomography: a systematic analysis of the state of the art and proposed improvements.

Jones HN, Deshmukh A, Pande K. (2026)

CryoGS: High-Quality Cryo-EM Homogeneous Reconstruction by Gaussian Splatting

Zeng B, Liu S, Cheng S, Xu G, Fan H. (2026)

Point cloud deformation modeling for particle selection following cryo-EM 2D classification.

Wang X, Mo Z, Li F, Zhang F, Wan X. (2026)

ICECREAM: high-fidelity equivariant cryo-electron tomography.

Kishore V, Debarnot V, Righetto RD, Engel BD, Dokmanić I. (2026)