EMPIAR-13509 - Mouse heavy-chain apoferritin on continuous carbon from 200 kV Glacios [3033 multi-frame micrographs composed of 648 frames each in EER format]

EMPIAR-13509

Mouse heavy-chain apoferritin on continuous carbon from 200 kV Glacios [3033 multi-frame micrographs composed of 648 frames each in EER format]

Publication:

LowDoseWizard - rapid and standardised setup of low dose cryo-TEM imaging in SerialEM

Fromm SA, Mattei S

BioRxiv (---)

Related EMDB entry:

EMD-57471

Deposited:

2026-04-16

Released:

2026-05-05

Last modified:

2026-05-05

Imageset size:

866.28 GB

Imageset DOI:

10.6019/EMPIAR-13509

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Raw EER files of mouse heavy-chain apoferritin on continuous carbon from 200 kV Glacios

Category:

micrographs - multiframe

Image format:

EER

No. of images or tilt series:

3033

Image size:

(4096, 4096)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.686, 0.686)

Details:

Raw EER files, not gain corrected. Gain reference (20250221_095754_EER_GainReference.gain) is provided in the data folder. Fluence is 40 e-/A^2. Pixel size (0.686 A) corresponds to 4096x4096 images, i.e. without upsampling. Movies recored on a Glacios equipped with an X-FEG, Selectris X and Falcon4i. Grid type used was Cu300, Quantifoil R2/1 + 2 nm C.

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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)