EMPIAR-12479 - Single particle cryo-EM dataset of soft-landed and rehydrated beta-galactosidase [multiple data sets in EER format]

EMPIAR-12479

Single particle cryo-EM dataset of soft-landed and rehydrated beta-galactosidase [multiple data sets in EER format]

Publication:

Cryo-EM Sample Preparation Using Soft-landing Electrospray Ion Beam Deposition and Laser Flash Melting

Barrass SV, Esser TK, Mowry NJ, Eriksson L, Hruby J, Seeley LT, Drabbels M, Baker LA, Rauschenbach S, Lorenz UJ

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Related EMDB entry:

EMD-52244 EMD-52260

Deposited:

2024-12-04

Released:

2025-12-22

Last modified:

2025-12-22

Imageset size:

24.12 TB

Imageset DOI:

10.6019/EMPIAR-12479

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Unaligned multi-frame micrographs of soft-landed and rehydrated beta-galactosidase - grid 1

Category:

micrographs - multiframe

Image format:

EER

No. of images or tilt series:

22957

Image size:

(4096, 4096)

Pixel type:

BIT

Pixel spacing:

(0.726, 0.726)

Details:

EER files from a Falcon 4i detector - raw micrographs, not motion corrected

Files:

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2. Unaligned multi-frame micrographs of soft-landed and rehydrated beta-galactosidase - grid 2

Category:

micrographs - multiframe

Image format:

EER

No. of images or tilt series:

21971

Image size:

(4096, 4096)

Pixel type:

BIT

Pixel spacing:

(0.726, 0.726)

Details:

EER files from a Falcon 4i detector - raw micrographs, not motion corrected

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)