EMPIAR-11680 - Single particle cryo-EM dataset of sarkosyl-insoluble fraction from tg-SwDI mouse mouse brain tissue containing amyloid-beta fibrils [25662 multi-frame micrographs composed of 700 frames each in EER format]

EMPIAR-11680

Single particle cryo-EM dataset of sarkosyl-insoluble fraction from tg-SwDI mouse mouse brain tissue containing amyloid-beta fibrils [25662 multi-frame micrographs composed of 700 frames each in EER format]

Publication:

Cryo-EM of Aβ fibrils from mouse models find tg-APP_ArcSwe fibrils resemble those found in patients with sporadic Alzheimer's disease

Zielinski M, Peralta Reyes FS, Gremer L, Schemmert S, Frieg B, Schäfer LU, Willuweit A, Donner L, Elvers M, Nilsson LNG, Syvänen S, Sehlin D, Ingelsson M, Willbold D, Schröder GF

Nature neuroscience 26 (2023) 2073-2080

PMID: 37973869

DOI: 10.1038/s41593-023-01484-4

Related EMDB entry:

EMD-16959 EMD-16957 EMD-16961

Deposited:

2023-08-04

Released:

2025-07-16

Last modified:

2025-07-16

Imageset size:

11.22 TB

Imageset DOI:

10.6019/EMPIAR-11680

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Unaligned multi-frame micrographs of amyloid fibrils extracted from the tg-SwDI mouse model

Category:

micrographs - multiframe

Image format:

EER

No. of images or tilt series:

25662

Image size:

(4096, 4096)

Pixel type:

BIT

Pixel spacing:

(0.808, 0.808)

Details:

The files are unaligned multi-frame movies. The data was collected in EER format with 700 camera frames (total dose of 40.1 electrons per squared Angstrom in a 2.91s exposure).

Files:

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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)