EMPIAR-11269 - Cryo electron tomography of Ca. L. ossiferum [multiple data sets in MRC format]

EMPIAR-11269

Cryo electron tomography of Ca. L. ossiferum [multiple data sets in MRC format]

Publication:

Actin cytoskeleton and complex cell architecture in an Asgard archaeon

Rodrigues-Oliveira T, Wollweber F, Ponce-Toledo RI, Xu J, Rittmann SKR, Klingl A, Pilhofer M, Schleper C

Nature (2022)

PMID: 36544020

DOI: 10.1038/s41586-022-05550-y

Related EMDB entry:

EMD-15987 EMD-15988 EMD-15990 EMD-15992 EMD-15989 EMD-15991 EMD-15993

Deposited:

2022-10-20

Released:

2023-01-03

Last modified:

2023-01-12

Imageset size:

11.63 GB

Imageset DOI:

10.6019/EMPIAR-11269

Experimental metadata:

Download xml json

Contains:

tilt series

Image Sets

1. Aligned tilt series of Ca. L. ossiferum tomograms

Category:

tilt series

Image format:

MRC

No. of images or tilt series:

Image size:

(5760, 4092)

Pixel type:

SIGNED 16 BIT INTEGER

Pixel spacing:

(2.678, 2.678)

Details:

Aligned tilt series after alignframes used to reconstruct EMD-15992 and EMD-15993

Files:

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2. Aligned tilt series of Ca. L. ossiferum tomograms

Category:

tilt series

Image format:

MRC

No. of images or tilt series:

Image size:

(5760, 4092)

Pixel type:

SIGNED 16 BIT INTEGER

Pixel spacing:

(4.51, 4.51)

Details:

Aligned tilt series after alignframes used to reconstruct EMD-15989, EMD-15990, EMD-15991

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

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)