EMPIAR-10822 - Cryo Electron Tomography of isolated S-layer patches from Ca.M.lanthanidiphila [multiple data sets in MRC format]

EMPIAR-10822

Cryo Electron Tomography of isolated S-layer patches from Ca.M.lanthanidiphila [multiple data sets in MRC format]

Publication:

The Polygonal Cell Shape and Surface Protein Layer of Anaerobic Methane-Oxidizing Methylomirabilis lanthanidiphila Bacteria

Gambelli L, Mesman R, Versantvoort W, Diebolder CA, Engel A, Evers W, Jetten MSM, Pabst M, Daum B, van Niftrik L

Frontiers in microbiology 12 (2021)

PMID: 34925275

DOI: 10.3389/fmicb.2021.766527

Related EMDB entry:

EMD-13670

Deposited:

2021-09-28

Released:

2021-10-25

Last modified:

2022-02-25

Imageset size:

46.27 GB

Imageset DOI:

10.6019/EMPIAR-10822

Experimental metadata:

Download xml json

Contains:

reconstructed volumes

Image Sets

1. Reconstructed tomogram of isolated Ca. M.lanthanidiphila S-layer patches

Category:

reconstructed volumes

Image format:

MRC

No. of images or tilt series:

672

Image size:

(4092, 5760)

Pixel type:

SIGNED 16 BIT INTEGER

Pixel spacing:

(2.62631, 2.62631)

Details:

Aquisition parameters in the corresponding mdoc file. Tilt-angles for missing wedge compensation in the corresponding tlt file

Files:

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2. Reconstructed tomogram of isolated Ca. M.lanthanidiphila S-layer patches

Category:

reconstructed volumes

Image format:

MRC

No. of images or tilt series:

382

Image size:

(4092, 5760)

Pixel type:

SIGNED 16 BIT INTEGER

Pixel spacing:

(2.62631, 2.62631)

Details:

Aquisition parameters in the corresponding mdoc file. Tilt-angles for missing wedge compensation in the corresponding tlt file

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

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)

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)