EMPIAR-12864 - Cryo electron tomography of PR/8/34 influenza A virus [multiple data sets in TIFF format]

EMPIAR-12864

Cryo electron tomography of PR/8/34 influenza A virus [multiple data sets in TIFF format]

Publication:

Subnanometer-resolution structural determination of hemagglutinin from cryo-electron tomography of influenza viruses

Huang QJ, McDaniel CN, Schiffer CA, Somasundaran M, Griffith AA

(---)

DOI: 10.3791/68636

Related EMDB entry:

Deposited:

2025-07-02

Released:

2025-12-21

Last modified:

2025-12-21

Imageset size:

33.58 GB

Imageset DOI:

10.6019/EMPIAR-12864

Experimental metadata:

Download xml json

Contains:

tilt series

Image Sets

1. Unaligned, multi-frame micrographs of tilt series containing influenza A virus (PR/8/34)

Category:

tilt series

Image format:

TIFF

No. of images or tilt series:

Image size:

(11520, 8184)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(1.04375, 1.04375)

Details:

Information on all tilt series in corresponding .mrc.mdoc files. The .mrc.mdoc files refer to 4x binned output tiltseries whereas raw frames were collected at 0.5x bin. The raw frames have not been gain corrected nor aligned.

Files:

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2. Unaligned, multi-frame micrographs of tilt series containing influenza A virus (PR/8/34)

Category:

tilt series

Image format:

TIFF

No. of images or tilt series:

Image size:

(5760, 4092)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(2.0873, 2.0873)

Details:

Information on all tilt series in corresponding .mrc.mdoc files. The .mrc.mdoc files refer to 4x binned output tiltseries whereas raw frames were collected at 1x bin. The raw frames have not been gain corrected nor aligned.

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)