EMPIAR-11111 - Parallel cryo electron tomography (PACE-tomo) of 70S ribosomes (121 tilt series) [multiple data sets in TIFF and MRC formats]

EMPIAR-11111

Parallel cryo electron tomography (PACE-tomo) of 70S ribosomes (121 tilt series) [multiple data sets in TIFF and MRC formats]

Publication:

Parallel cryo electron tomography on in situ lamellae

Eisenstein F, Yanagisawa H, Kashihara H, Kikkawa M, Tsukita S, Danev R

Nature Methods (2022)

DOI: 10.1038/s41592-022-01690-1

Related EMDB entry:

EMD-33834

Deposited:

2022-07-12

Released:

2022-11-29

Last modified:

2022-11-29

Imageset size:

490.06 GB

Imageset DOI:

10.6019/EMPIAR-11111

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe
tilt series

Image Sets

1. Raw movie frames for all tilt series

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

4961

Image size:

(4092, 5760)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(1.07, 1.07)

Details:

camera orientation: rotation by 90, flipped around y axis

Files:

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2. Tilt series and meta data

Category:

tilt series

Image format:

MRC

No. of images or tilt series:

121

Image size:

(4092, 5760)

Pixel type:

UNSIGNED 16 BIT INTEGER

Pixel spacing:

(1.07, 1.07)

Details:

Tilt series sorted by tilt angle, mdoc files and dose files usable in IMOD

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)