EMPIAR-11788 - Sulfolobus acidocaldarius s-layer SlaA [multiple data sets in TIFF format]

EMPIAR-11788

Sulfolobus acidocaldarius s-layer SlaA [multiple data sets in TIFF format]

Publication:

Structure of the two-component S-layer of the archaeon Sulfolobus acidocaldarius

Gambelli L, McLaren M, Conners R, Sanders K, Gaines MC, Clark L, Gold VAM, Kattnig D, Sikora M, Hanus C, Isupov MN, Daum B

eLife 13 (2024)

PMID: 38251732

DOI: 10.7554/elife.84617

Related EMDB entry:

EMD-15531 EMD-14635

Deposited:

2023-07-14

Released:

2024-02-29

Last modified:

2024-02-29

Imageset size:

4.49 TB

Imageset DOI:

10.6019/EMPIAR-11788

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Movies of SlaA at pH 7

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

3163

Image size:

(7676, 7420)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(1.054, 1.054)

Details:

---

Files:

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2. Movies of SlaA at pH 4

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

3687

Image size:

(7676, 7420)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(1.054, 1.054)

Details:

---

Files:

This entry cannot be downloaded from PDBj.

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3. Movies of SlaA at pH 10

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

5046

Image size:

(7676, 7420)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(1.054, 1.054)

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

AlignPCA-2D: PCA-reduced Euclidean vector alignment for 2D classification in cryo-EM.

Ramírez-Aportela E, Zarrabeitia OL, Fonseca YC, Ceska T, Subramaniam S, Carazo JM, Sorzano COS. (2026)

A variational framework with composite sparse regularization for cryo-electron tomography reconstruction.

Yu C, Xu Z, Zeng Q, Wan X, El-Messiry H, Zhang F, Han R. (2026)

Helical reconstruction of amyloids in cryoSPARC.

Schaefer JH, O'Neill RT, Donnelly JP, Powers ET, Kelly JW, Lander GC. (2026)

An unattended image-processing pipeline for on-the-fly quality assessment and 3D exploration in cryo-EM.

Marchán Torres D, Conesa P, Garcia A, Iceta M, Broche L, Gragera M, Linares R, Kwong HS, Chichón FJ, Svensson O, Arranz R, Effantin G, Kandiah E, Carazo JM, Sorzano COS. (2026)

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

Poudel B, Gyawali R, Dhakal A, Cheng J, Xu D. (2026)

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)

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)

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)

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