EMPIAR-13203 - 100 kV apoferritin at 1.91 A with DECTRIS SINGLA detector on CRYO ARM 200 II [17424 multi-frame micrographs composed of 13500 frames each in BIG DATA VIEWER HDF5 format]

EMPIAR-13203

100 kV apoferritin at 1.91 A with DECTRIS SINGLA detector on CRYO ARM 200 II [17424 multi-frame micrographs composed of 13500 frames each in BIG DATA VIEWER HDF5 format]

Publication:

Atomic resolution cryo-EM at 200 keV

Danev R, Yanagisawa H, Yamashita K, Eisenstein F, Kikkawa M

bioRxiv (---)

DOI: 10.64898/2026.01.09.698548

Related EMDB entry:

EMD-68204

Deposited:

2026-01-13

Released:

2026-03-09

Last modified:

2026-03-09

Imageset size:

7.96 TB

Imageset DOI:

10.6019/EMPIAR-13203

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Uncounted, unaligned, non-gain-normalized raw movies in HDF5 format

Category:

micrographs - multiframe

Image format:

BIG DATA VIEWER HDF5

No. of images or tilt series:

17424

Image size:

(1028, 1062)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(1.17, 1.17)

Details:

To process the movies, please contact DECTRIS at support@dectris.cloud to get access to their electron counting software tool that allows converting the HDF5 movies to MRC movies.

The gain reference file is in auxiliary_files/gain.mrc

The CryoSPARC workflow is in auxiliary_files/100kv_apoferritin_workflow.json

The CryoSPARC particle stack from the last 3D refinement is in auxiliary_files/J126_particles_exported.cs

For further details please see the dataset_description.txt file

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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)

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)