EMPIAR-12325 - Cryo-EM images of NINJ1 disks [multiple data sets in MRC format]

EMPIAR-12325

Cryo-EM images of NINJ1 disks [multiple data sets in MRC format]

Publication:

NINJ1 mediates plasma membrane rupture by cutting and releasing membrane disks

David LD, Borges JP, Hollingsworth LR, Volchuk A, Jansen I, Garlick E, Steinberg BE, Wu HW

Cell 187 (2024) 2224-2.235e+19

PMID: 38614101

DOI: 10.1016/j.cell.2024.03.008

Related EMDB entry:

EMD-42301

Deposited:

2024-06-21

Released:

2025-01-21

Last modified:

2025-01-21

Imageset size:

2.89 TB

Imageset DOI:

10.6019/EMPIAR-12325

Experimental metadata:

Download xml json

Contains:

micrographs - single frame
picked particles - single frame - processed

Image Sets

1. Motion corrected micrograph

Category:

micrographs - single frame

Image format:

MRC

No. of images or tilt series:

15295

Image size:

(300, 300)

Pixel type:

SIGNED 32 BIT INTEGER

Pixel spacing:

(0.82, 0.82)

Details:

---

Files:

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2. Extracted particles

Category:

picked particles - single frame - processed

Image format:

MRC

No. of images or tilt series:

15295

Image size:

(None, None)

Pixel type:

BIT

Pixel spacing:

(None, None)

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.

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

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Citations

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)

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)

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

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

Deep-learning methods for contrast enhancement and artifact reduction in cryo-electron tomography: a systematic analysis of the state of the art and proposed improvements.

Jones HN, Deshmukh A, Pande K. (2026)

CryoGS: High-Quality Cryo-EM Homogeneous Reconstruction by Gaussian Splatting

Zeng B, Liu S, Cheng S, Xu G, Fan H. (2026)

Point cloud deformation modeling for particle selection following cryo-EM 2D classification.

Wang X, Mo Z, Li F, Zhang F, Wan X. (2026)

ICECREAM: high-fidelity equivariant cryo-electron tomography.

Kishore V, Debarnot V, Righetto RD, Engel BD, Dokmanić I. (2026)

CryoSift: an accessible and automated CNN-driven tool for cryo-EM 2D class selection.

Schäfer JH, Calza A, Hom K, Damodar P, Peng R, Bogdanović N, Lander GC, Stagg SM, Cianfrocco MA. (2025)