EMPIAR-12239 - Interleaved scanning electron microscopy: exploring native samples at the mesoscale. E.gracilis [multiple data sets in TIFF and MRC formats]

EMPIAR-12239

Interleaved scanning electron microscopy: exploring native samples at the mesoscale. E.gracilis [multiple data sets in TIFF and MRC formats]

Publication:

Reduction of SEM charging artefacts in native cryogenic biological samples.

Velazco A, Glen T, Klumpe S, Pennington A, Zhang J, Smith J, Bowles W, Glynn C, Kobylynska M, Fleck RA, Naismith JH, Kim JS, Darrow MC, Grange M, Kirkland AI

(---)

Related EMDB entry:

Deposited:

2024-08-01

Released:

2024-11-21

Last modified:

2025-04-23

Imageset size:

268.13 GB

Imageset DOI:

10.6019/EMPIAR-12239

Experimental metadata:

Download xml json

Contains:

micrographs - single frame
micrographs - multiframe

Image Sets

1. Tiff subframes from scan gen

Category:

micrographs - single frame

Image format:

TIFF

No. of images or tilt series:

21500

Image size:

(2048, 2048)

Pixel type:

SIGNED 16 BIT INTEGER

Pixel spacing:

(6.34, 6.34)

Details:

---

Files:

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2. subframes to frame and cropped to remove flyback

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

215

Image size:

(1920, 1920)

Pixel type:

UNSIGNED 16 BIT INTEGER

Pixel spacing:

(6.34, 6.34)

Details:

---

Files:

This entry cannot be downloaded from PDBj.

Archives and downloads the selected files into an uncompressed zip file.

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3. frames cropped and made of the subframe aligned with motiocor2

Category:

micrographs - single frame

Image format:

MRC

No. of images or tilt series:

215

Image size:

(1920, 1920)

Pixel type:

UNSIGNED 16 BIT INTEGER

Pixel spacing:

(6.34, 6.34)

Details:

---

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.

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Citations

High-resolution ab initio reconstruction enables cryo-EM structure determination of small particles

Kim K, Li H, Clarke OB. (2025)

Self-supervised learning for generalizable particle picking in cryo-EM micrographs.

Zamanos A, Koromilas P, Bouritsas G, Kastritis PL, Panagakis Y. (2025)

In situ structure determination of conformationally flexible targets using nextPYP.

Liu HF, Zhou Y, Huang Q, Martin J, Bartesaghi A. (2025)

CryoPROS: Correcting misalignment caused by preferred orientation using AI-generated auxiliary particles.

Zhang H, Zheng D, Wu Q, Yan N, Peng H, Hu Q, Peng Y, Yan Z, Shi Z, Bao C, Hu M. (2025)

Few-shot learning for non-vitrified ice segmentation.

Vivas-Lago A, Castaño-Díez D. (2025)

Automated removal of corrupted tilts in cryo-electron tomography.

Majtner T, Turoňová B. (2025)

Reanalysis of cryo-EM data reveals ALK-cytokine assemblies with both 2:1 and 2:2 stoichiometries.

Felix J, De Munck S, Bazan JF, Savvides SN. (2025)

Probabilistic single-particle cryo-EM ab initio 3D reconstruction in SIMPLE.

Van CTS, Reboul CF, Caesar JJE, Meana-Pañeda R, Lountos GT, Deme JC, Bryant OJ, Johnson S, Piczak CT, Valkov E, Lea SM, Elmlund H. (2025)

Cryo-EM Structure Reconstruction by Gaussian Splatting: Pushing the Resolution to Extreme

Zeng B, Liu S, Cheng S, Xu G, Fan H. (2025)

Molecular exaptation by the integrin αI domain.

Hollis JA, Chan MC, Malik HS, Campbell MG. (2025)

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