EMPIAR-11697 - CryoEM micrographs collected on a RAD51-ATP-dsDNA filament sample [3850 multi-frame micrographs composed of 40 frames each in TIFF format]

EMPIAR-11697

CryoEM micrographs collected on a RAD51-ATP-dsDNA filament sample [3850 multi-frame micrographs composed of 40 frames each in TIFF format]

Publication:

A metal ion-dependent mechanism of RAD51 nucleoprotein filament disassembly

Appleby R, Bollschweiler D, Chirgadze DY, Joudeh L, Pellegrini L

iScience 26 (2023)

PMID: 37216117

DOI: 10.1016/j.isci.2023.106689

Related EMDB entry:

EMD-16197

Deposited:

2023-09-28

Released:

2023-10-13

Last modified:

2023-10-13

Imageset size:

960.35 GB

Imageset DOI:

10.6019/EMPIAR-11697

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Micrographs of wildtype RAD51 filaments bound with ATP in the presence of dsDNA incl. gain reference

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

3850

Image size:

(None, None)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(None, None)

Details:

micrographs were collected on a Titan Krios machine fitted with a K3 detector operating at 300 keV. The total dose was 47.22 e/A2 with an exposure time of 1.61 seconds and pixel size of 0.652 (0.326 super resolution).

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Citations

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

He L, Bartesaghi A. (2026)

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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)