EMPIAR-12675 - FIB-SEM Rat brain tissue samples [multiple data sets in TIFF and PNG formats]

EMPIAR-12675

FIB-SEM Rat brain tissue samples [multiple data sets in TIFF and PNG formats]

Publication:

Contextual High-throughput 3D Volume Electron Microscopy Data Acquisition Using Artificial Intelligence

Fitzpatrick JAJ, Czymmek KJ, Hurník Konečná T, Jančík R, Slamková D, Přibyl B, Tomova C, Rotkina L, Burch-Smith T, Sviben S

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Related EMDB entry:

Deposited:

2025-04-01

Released:

2025-07-08

Last modified:

2025-07-08

Imageset size:

870.06 MB

Imageset DOI:

10.6019/EMPIAR-12675

Experimental metadata:

Download xml json

Contains:

reconstructed volumes
micrographs - single frame

Image Sets

1. FIB-SEM Rat brain tissue dataset

Category:

reconstructed volumes

Image format:

TIFF

No. of images or tilt series:

492

Image size:

(1549, 1104)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(50.0, 50.0)

Details:

---

Files:

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2. FIB-SEM Rat brain tissue dataset - annotation by user

Category:

micrographs - single frame

Image format:

PNG

No. of images or tilt series:

Image size:

(1549, 1104)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(50.0, 50.0)

Details:

Manual annotation by user on the first slice of volume.

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

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

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

CLEM-Reg: an automated point cloud-based registration algorithm for volume correlative light and electron microscopy.

Krentzel D, Elphick M, Domart MC, Peddie CJ, Laine RF, Shand C, Henriques R, Collinson LM, Jones ML. (2025)

CryoEMNet driven symmetry-aware molecular reconstruction through deep learning enhanced electron microscopy.

Arora S, Pan SH, Kumar S, Singh SK, Chauhan U, Alhalabi W, Arya V, Alsulami BS, Hsu CH, Chui KT, Gupta BB. (2025)

PERC: a suite of software tools for the curation of cryoEM data with application to simulation, modeling and machine learning.

Costa-Gomes B, Greer J, Juraschko N, Parkhurst J, Mirecka J, Famili M, Rangel-Smith C, Strickson O, Lowe A, Basham M, Burnley T. (2025)

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

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

Laser flash melting cryo-EM samples to overcome preferred orientation.

Straub MS, Harder OF, Mowry NJ, Barrass SV, Hruby J, Drabbels M, Lorenz UJ. (2025)

In situ structure determination of conformationally flexible targets using nextPYP.

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

EMICSS: added-value annotations for EMDB entries.

Duraisamy AK, Fonseca N, Kleywegt GJ, Patwardhan A, Morris KL. (2025)

Global conformations of <i>Pichia pastoris</i> complex I are distinguished by the binding of a unique interdomain bridging subunit.

Lee CS, Grba DN, Wright JJ, Ivanov BS, Hirst J. (2025)

Overcoming Preferred Orientation in Cryo-EM With Ultrasonic Excitation During Vitrification

Williams HM, Curtis WA, Haubner M, Hruby J, Drabbels M, Lorenz UJ. (2025)

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