EMPIAR-10026 - Raw data for the 3D structure of horse spleen apoferritin determined by electron cryomicroscopy [multiple data sets in MRC format]

This entry has been removed from PDBj storage. Please download it from EMPIAR-EBI.

EMPIAR-10026

Raw data for the 3D structure of horse spleen apoferritin determined by electron cryomicroscopy [multiple data sets in MRC format]

Publication:

Electron microscopy: Ultrastable gold substrates for electron cryomicroscopy

Russo CJ, Passmore LA

Science (New York, N.Y.) 346 (2014) 1377-1380

PMID: 25504723

DOI: 10.1126/science.1259530

Related EMDB entry:

EMD-2788

Deposited:

2015-04-20

Released:

2015-06-04

Last modified:

2015-06-04

Imageset size:

180.03 GB

Imageset DOI:

10.6019/EMPIAR-10026

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe
picked particles - multiframe - processed

Image Sets

1. Raw unprocessed micrograph movies

Category:

micrographs - multiframe

Image format:

MRC

No. of images or tilt series:

180

Image size:

(4096, 4096)

Pixel type:

SIGNED 16 BIT INTEGER

Pixel spacing:

(1.346, 1.346)

Details:

---

Files:

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2. Final selected particles

Category:

picked particles - multiframe - processed

Image format:

MRC

No. of images or tilt series:

483

Image size:

(132, 132)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(1.346, 1.346)

Details:

---

Files:

This entry cannot be downloaded from PDBj.

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

We recommend using rsync, aspera, globus, etc.

Download a list of selected files.

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Citations

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)

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

He L, Bartesaghi A. (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)

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)

CryoSift: an accessible and automated CNN-driven tool for cryo-EM 2D class selection.

Schäfer JH, Calza A, Hom K, Damodar P, Peng R, Bogdanović N, Lander GC, Stagg SM, Cianfrocco MA. (2025)