EMPIAR-12869 - Turnip Crinkle Virus: virions (TCV-M) [multiple data sets in TIFF format]

EMPIAR-12869

Turnip Crinkle Virus: virions (TCV-M) [multiple data sets in TIFF format]

Publication:

The specificity of RNA packaging in isometric RNA plant viruses is principally determined by replication

Saunders K, Shah S, Peyret H, Meshcheriakova Y, Richardson J, Eltschkner S, Lawson DM, Lomonossoff G

(---)

Related EMDB entry:

EMD-53397

Deposited:

2025-06-19

Released:

2025-07-30

Last modified:

2025-07-30

Imageset size:

273.15 GB

Imageset DOI:

10.6019/EMPIAR-12869

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe
micrographs - single frame

Image Sets

1. micrographs for Turnip Crinkle Virus: virions (TCV-M)

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

2384

Image size:

(4096, 4096)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.94, 0.94)

Details:

Unaligned multi-frame micrographs in TIFF format. See publication for further details.

Files:

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2. gain reference file

Category:

micrographs - single frame

Image format:

TIFF

No. of images or tilt series:

Image size:

(4096, 4096)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.94, 0.94)

Details:

Gain reference file

Files:

This entry cannot be downloaded from PDBj.

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)