EMPIAR-11801 - AL amyloid fibril from the FOR103 light chain [2788 multi-frame micrographs composed of 40 frames each in TIFF format]

EMPIAR-11801

AL amyloid fibril from the FOR103 light chain [2788 multi-frame micrographs composed of 40 frames each in TIFF format]

Publication:

Light chain mutations contribute to defining the fibril morphology in systemic AL amyloidosis

Karimi-Farsijani S, Pfeiffer PB, Banerjee S, Baur J, Kuhn L, Kupfer N, Hegenbart U, Schönland SO, Wiese S, Haupt C, Schmidt M, Fändrich M

(---)

Related EMDB entry:

EMD-19818

Deposited:

2023-11-27

Released:

2024-09-03

Last modified:

2024-09-03

Imageset size:

504.30 GB

Imageset DOI:

10.6019/EMPIAR-11801

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Unaligned multi-frame micrographs of FOR103 amyloid fibrils

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

2788

Image size:

(3838, 3710)

Pixel type:

UNSIGNED 16 BIT INTEGER

Pixel spacing:

(1.04, 1.04)

Details:

Krios1 Quantum-K2
Cs 2.7
300kV EFTEM nanpprobe
x130k spot 8 beam size 650nm
c2=50 objective_aperture=100

GIF-K2 counting
10s exposure 40 frames
total dose at the sample 53.70e/A2
1 pixel = 1.04A
dose rate ~3-4 e/pix/s

defocus range -1.2 to -2.5

The gain reference (/data/micrographs/CountRef_map_0076_001.dm4) is not applied to the micrographs. The NOTES.txt file contains EM information. Thumbnails and power spectra (data/thumbs) as well as coordinates (/data/Manual_Pick) are provided.

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Citations

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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.

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Jones HN, Deshmukh A, Pande K. (2026)

CryoGS: High-Quality Cryo-EM Homogeneous Reconstruction by Gaussian Splatting

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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)