EMPIAR-11363 - Apo-ChRmine in MSP1E3D1 lipid nanodisc [5339 multi-frame micrographs composed of 50 frames each in TIFF format]

EMPIAR-11363

Apo-ChRmine in MSP1E3D1 lipid nanodisc [5339 multi-frame micrographs composed of 50 frames each in TIFF format]

Publication:

Cryo-EM structures of the channelrhodopsin ChRmine in lipid nanodiscs

Tucker KCT, Sridharan SS, Adesnik HA, Brohawn SGB

Nature communications 13 (2022)

PMID: 35977941

DOI: 10.1038/s41467-022-32441-7

Related EMDB entry:

EMD-25135

Deposited:

2023-01-03

Released:

2023-01-26

Last modified:

2023-01-26

Imageset size:

3.48 TB

Imageset DOI:

10.6019/EMPIAR-11363

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Apo-ChRmine in Msp1-E3D1 nanodiscs

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

5339

Image size:

(11520, 8184)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(None, None)

Details:

Gain reference in the "Frames" directory
Particles in the "Particles" directory with the final particles used in cryosparc (*.cs).

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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)