EMPIAR-13298 - Cryo electron tomography of yeast FIB-milled lamella after sublimation [657 multi-frame micrographs composed of 6 frames each in MRC format]

EMPIAR-13298

Cryo electron tomography of yeast FIB-milled lamella after sublimation [657 multi-frame micrographs composed of 6 frames each in MRC format]

Publication:

In-Chamber Sublimation: A Hands-On Hack to Beat Ice and Curtaining in Cryo-Electron Tomography Lamella Prep

Bondy AL, Valentin Gese G, Thersleff T, Hallberg BM

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Related EMDB entry:

Deposited:

2026-02-08

Released:

2026-03-23

Last modified:

2026-03-23

Imageset size:

857.69 GB

Imageset DOI:

10.6019/EMPIAR-13298

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Unaligned multi-frame micrographs of FIB-milled yeast lamella

Category:

micrographs - multiframe

Image format:

MRC

No. of images or tilt series:

657

Image size:

(11520, 8184)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(1.34, 1.34)

Details:

MDOC files for each tilt-series are in the folder "MDOC".
Movie averages after WARP 1.0.9 processing (bin 1, pixel size 2.68) are in the folder "average".
Aretomo-reconstructed tomograms (10.72 A/px), tilt-series alignments (*.xf) and other aretomo output files are in the folder "aretomo".
WARP-reconstructed tomograms (16.08 A/px), as well as denoised tomograms (WARP noise2map) are in the folder reconstruction.
Subtomograms exported by M, as well as CTF files, are in the folder "subtomo_EMPIAR". The corresponding particle coordinates and poses after RELION 3.1 refinement are in the file run_data.star.

Files:

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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)