EMPIAR-12121 - Particle stacks from heart-derived AL amyloid (AL59) cryo-EM data [multiple data sets in MRCS format]

EMPIAR-12121

Particle stacks from heart-derived AL amyloid (AL59) cryo-EM data [multiple data sets in MRCS format]

Publication:

Helical superstructures between amyloid and collagen VI in heart-derived fibrils from a patient with Light Chain Amyloidosis

Schulte T, Speranzini V, Chaves-Sanjuan A, Milazzo M, Ricagno S

(---)

Related EMDB entry:

EMD-50270

Deposited:

2024-06-06

Released:

2024-07-19

Last modified:

2024-07-19

Imageset size:

130.08 GB

Imageset DOI:

10.6019/EMPIAR-12121

Experimental metadata:

Download xml json

Contains:

picked particles - single frame - processed
picked particles - single frame - unprocessed

Image Sets

1. Initial set of segments of the AL59 reconstructions

Category:

picked particles - single frame - processed

Image format:

MRCS

No. of images or tilt series:

240985

Image size:

(340, 340)

Pixel type:

UNSIGNED 32 BIT INTEGER

Pixel spacing:

(0.889, 0.889)

Details:

---

Files:

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2. Set of segments of the AL59 'straight' polymorph reconstruction (EMD-50270)

Category:

picked particles - single frame - unprocessed

Image format:

MRCS

No. of images or tilt series:

37904

Image size:

(340, 340)

Pixel type:

UNSIGNED 16 BIT INTEGER

Pixel spacing:

(0.889, 0.889)

Details:

---

Files:

Archives and downloads the selected files into an uncompressed zip file.

We recommend using rsync, aspera, globus, etc.

Download a list of selected files.

It is possible to download files by specifying the file list with rsync command, etc.

rsync -av --files-from=(path-to-filelist) rsync://empiar.pdbj.org/empiar/archive (path-to-destination)

3. Set of segments of the AL59 'bent' polymorph reconstruction (EMD-50271)

Category:

picked particles - single frame - unprocessed

Image format:

MRCS

No. of images or tilt series:

10521

Image size:

(340, 340)

Pixel type:

UNSIGNED 16 BIT INTEGER

Pixel spacing:

(0.889, 0.889)

Details:

---

Files:

Archives and downloads the selected files into an uncompressed zip file.

We recommend using rsync, aspera, globus, etc.

Download a list of selected files.

It is possible to download files by specifying the file list with rsync command, etc.

rsync -av --files-from=(path-to-filelist) rsync://empiar.pdbj.org/empiar/archive (path-to-destination)

4. Set of segments of the AL59 'mixed' polymorph reconstruction (EMD-50272)

Category:

picked particles - single frame - unprocessed

Image format:

MRCS

No. of images or tilt series:

12355

Image size:

(340, 340)

Pixel type:

UNSIGNED 16 BIT INTEGER

Pixel spacing:

(0.889, 0.889)

Details:

---

Files:

Archives and downloads the selected files into an uncompressed zip file.

We recommend using rsync, aspera, globus, etc.

Download a list of selected files.

It is possible to download files by specifying the file list with rsync command, etc.

rsync -av --files-from=(path-to-filelist) rsync://empiar.pdbj.org/empiar/archive (path-to-destination)

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Citations

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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)