EMPIAR-10817 - 2.1 Å resolution structure of β-galactosidase obtained from Glacios equipped with Falcon 3 [multiple data sets in TIFF format]

EMPIAR-10817

2.1 Å resolution structure of β-galactosidase obtained from Glacios equipped with Falcon 3 [multiple data sets in TIFF format]

Publication:

2.1 Å resolution structure of β-galactosidase obtained from Glacios equipped with Falcon 3

Merk A, Darling JE, Grisshammer R, Ognjenović J

(---)

Related EMDB entry:

EMD-24887

Deposited:

2021-08-26

Released:

2022-11-15

Last modified:

2022-11-15

Imageset size:

4.76 TB

Imageset DOI:

10.6019/EMPIAR-10817

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. unaligned and compressed multi-frame micrographs of beta-galactosidase

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

1360

Image size:

(4096, 4096)

Pixel type:

SIGNED 16 BIT INTEGER

Pixel spacing:

(0.526, 0.526)

Details:

The micrographs are the unaligned movie frames (60 frames per micrograph) in compressed TIFF format. Total accumulated dose is 60 electrons/Å^2 over a 32 second exposure.

Files:

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rsync -av --files-from=(path-to-filelist) rsync://empiar.pdbj.org/empiar/archive (path-to-destination)

2. unaligned and compressed multi-frame micrographs of beta-galactosidase

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

3052

Image size:

(4096, 4096)

Pixel type:

SIGNED 16 BIT INTEGER

Pixel spacing:

(0.526, 0.526)

Details:

The micrographs are the unaligned movie frames (60 frames per micrograph) in compressed TIFF format. Total accumulated dose is 60 electrons/Å^2 over a 32 second exposure.

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

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CryoFSL: an annotation-efficient, few-shot learning framework for robust protein particle picking in cryo-electron microscopy micrographs.

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prismPYP: Power-spectrum and image domain learning for self-supervised micrograph evaluation.

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CryoSIP: unleashing protein high-resolution Cryo-EM via semantic-instance collaborative picking.

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Unbend, correction of local beam-induced sample motion in cryo-EM images using a 3D spline model.

Kong L, Zottig X, Elferich J, Grigorieff N. (2026)

CryoVirusDB: An Annotated Dataset for AI-Based Virus Particle Identification in Cryo-EM Micrographs.

Gyawali R, Dhakal A, Wang L, Cheng J. (2026)

CryoWriter: a robotic solution for improved Cryo-EM grid preparation.

Kv C, Ekundayo B, Di Fabrizio M, Mohammed I, Radecke J, Stahlberg H, Kube M. (2026)