EMPIAR-12906 - Single Particle cryo-EM dataset of ADP-bound Redondovirus Rep [3790 multi-frame micrographs composed of 35 frames each in TIFF format]

EMPIAR-12906

Single Particle cryo-EM dataset of ADP-bound Redondovirus Rep [3790 multi-frame micrographs composed of 35 frames each in TIFF format]

Publication:

Structures of Nucleotide-Bound Redondovirus Rep Protein

Montermoso S, Gupta K, Pumroy RA, Moiseenkova-Bell V, Bushman FD, Van Duyne GD

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Related EMDB entry:

Deposited:

2025-08-02

Released:

2026-02-17

Last modified:

2026-02-17

Imageset size:

1.18 TB

Imageset DOI:

10.6019/EMPIAR-12906

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Unaligned multi-frame movies of ADP-bound Redondovirus Rep

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

3790

Image size:

(None, None)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(0.43, 0.43)

Details:

Unaligned micrographs of 35 raw movie frames with 42.2 e-/Å2 nominal dose and 2.34 sec exposure time. Image pixel size of 0.43 Å. Voltage of 300kV. Spherical aberration of 2.7 mm.

Files:

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Citations

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)

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

He L, Bartesaghi A. (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)