EMPIAR-11557 - Cryo Electron tomography of germinated polar tubes from Vairimorpha necatrix [multiple data sets in MRC format]

EMPIAR-11557

Cryo Electron tomography of germinated polar tubes from Vairimorpha necatrix [multiple data sets in MRC format]

Publication:

Cryo Electron tomography of germinated polar tubes from Vairimorpha necatrix

Sharma H, Jespersen N, Ehrenbolger K, Carlson L A, Barandun J

na (2023) na-na

Related EMDB entry:

EMD-17391

Deposited:

2023-03-24

Released:

2024-01-16

Last modified:

2024-01-16

Imageset size:

94.07 GB

Imageset DOI:

10.6019/EMPIAR-11557

Experimental metadata:

Download xml json

Contains:

tilt series
reconstructed volumes

Image Sets

1. Motion corrected, unaligned tilt series stack.

Category:

tilt series

Image format:

MRC

No. of images or tilt series:

Image size:

(3838, 3710)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(2.173, 2.173)

Details:

Motion-corrected raw tilt series and representative tomograms for cargo-filled and empty polar tubes are uploaded.

Files:

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

2. Representative tomograms of cargo filled and empty tubes.

Category:

reconstructed volumes

Image format:

MRC

No. of images or tilt series:

Image size:

(959, 256)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(8.69, 8.69)

Details:

Reconstructed representative tomograms showing germinated polar tubes.

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)