EMPIAR-12032 - 2.08A Apoferritin Structure Solved Using an Indirect Scintillator-Coupled CMOS Detector at 300 kV [1893 multi-frame micrographs composed of 23 frames each in MRCS format]

EMPIAR-12032

2.08A Apoferritin Structure Solved Using an Indirect Scintillator-Coupled CMOS Detector at 300 kV [1893 multi-frame micrographs composed of 23 frames each in MRCS format]

Publication:

High-Resolution Single Particle Analysis Using an Indirect Scintillator-Coupled CMOS Detector at 300 kV

Aramaki S, Yoshida Y, Tanihara T, Oyama K, Otsuki K, Terada Y, Matsunaga N, Ohdo S, Mayanagi K

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Related EMDB entry:

EMD-39481

Deposited:

2024-04-03

Released:

2024-06-13

Last modified:

2024-06-13

Imageset size:

6.28 TB

Imageset DOI:

10.6019/EMPIAR-12032

Experimental metadata:

Download xml json

Deposited via PDBj

Contains:

micrographs - multiframe

Image Sets

1. Imageset for Apoferritin

Category:

micrographs - multiframe

Image format:

MRCS

No. of images or tilt series:

1893

Image size:

(4096, 4096)

Pixel type:

UNSIGNED 16 BIT INTEGER

Pixel spacing:

(0.608, 0.608)

Details:

- JEOL CRYOARM 300 II
- 300 kV, cold FEG
- 20 eV slit
- 4.04 e/A2/frame
- The dataset was collected with 5x5 image shift. The file ends with "... [000-024].mrc.bz2" corresponds to the spot scan location.
- A subset of micrographs (data/EMD-39481_filelist.txt) was used to produce EMD-39481. Other micrographs are equally valid but have not been processed due to computational issues.

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Citations

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

He L, Bartesaghi A. (2026)

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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)