EMPIAR-11446 - Unaligned cryo-EM micrographs of AL55 amyloid fibrils extracted from the kidney of an AL amyloidosis patient [1819 multi-frame micrographs composed of 40 frames each in MRC format]

EMPIAR-11446

Unaligned cryo-EM micrographs of AL55 amyloid fibrils extracted from the kidney of an AL amyloidosis patient [1819 multi-frame micrographs composed of 40 frames each in MRC format]

Publication:

The Cryo-EM STRUCTURE of Renal Amyloid Fibril Suggests Structurally Homogeneous Multiorgan Aggregation in AL Amyloidosis

Puri S, Schulte T, Chaves-Sanjuan A, Mazzini G, Caminito S, Pappone C, Anastasia L, Milani P, Merlini G, Bolognesi M, Nuvolone M, Palladini G, Ricagno S

Journal of molecular biology 435 (2023)

PMID: 37516426

DOI: 10.1016/j.jmb.2023.168215

Related EMDB entry:

EMD-16780

Deposited:

2023-03-03

Released:

2023-08-18

Last modified:

2023-08-18

Imageset size:

1.03 TB

Imageset DOI:

10.6019/EMPIAR-11446

Experimental metadata:

Download xml json

Compressed by PDBj:

Image formats and pixel types shown below are those of the original, non-compressed files.

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Contains:

micrographs - multiframe

Image Sets

1. Unaligned multi-frame micrographs of AL55 amyloid fibrils extracted from the kidney of an AL amyloidosis patient

Category:

micrographs - multiframe

Image format:

MRC

No. of images or tilt series:

1819

Image size:

(4096, 4096)

Pixel type:

SIGNED 16 BIT INTEGER

Pixel spacing:

(None, None)

Details:

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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)