EMPIAR-13064 - 1.7 A structure of conventional mouse heavy chain Apoferritin [935 multi-frame micrographs composed of 50 frames each in EER format]

EMPIAR-13064

1.7 A structure of conventional mouse heavy chain Apoferritin [935 multi-frame micrographs composed of 50 frames each in EER format]

Publication:

Ultrathin Liquid Cells for Microsecond Time-Resolved Cryo-EM

Curtis WA, Hruby J, Krüger CR, Barrass SV, Drabbels M, Lorenz UJ

bioRxiv (---)

DOI: 10.1101/2025.05.05.652279

Related EMDB entry:

EMD-54058

Deposited:

2025-06-24

Released:

2025-12-17

Last modified:

2025-12-17

Imageset size:

370.06 GB

Imageset DOI:

10.6019/EMPIAR-13064

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Unaligned multi-frame micrographs for Apoferritin conventional sample

Category:

micrographs - multiframe

Image format:

EER

No. of images or tilt series:

935

Image size:

(4096, 4096)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.726, 0.726)

Details:

---

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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)