EMPIAR-11383 - Cryo electron microscopy of beta-2-microglobulin amyloid fibrils for the variant V27M (in vitro, pH 6.2) [611 multi-frame micrographs composed of 40 frames each in TIFF format]

EMPIAR-11383

Cryo electron microscopy of beta-2-microglobulin amyloid fibrils for the variant V27M (in vitro, pH 6.2) [611 multi-frame micrographs composed of 40 frames each in TIFF format]

Publication:

Disease-relevant β₂-microglobulin variants share a common amyloid fold

Wilkinson M, Gallardo RU, Martinez RM, Guthertz N, So M, Aubrey LD, Radford SE, Ranson NA

Nature communications 14 (2023)

PMID: 36864041

DOI: 10.1038/s41467-023-36791-8

Related EMDB entry:

EMD-15224

Deposited:

2023-01-19

Released:

2023-03-27

Last modified:

2023-03-27

Imageset size:

92.65 GB

Imageset DOI:

10.6019/EMPIAR-11383

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Unaligned tif movie stacks for b2m-V27M amyloid fibrils, gain corrected

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

611

Image size:

(4096, 4096)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.94, 0.94)

Details:

611 unaligned gain corrected tif movies, each with 40 fractions and a dose of 1.0 e-/Å2/frame.

Files:

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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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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)