EMPIAR-10275 - Structure of a synthetic beta-carboxysome shell [1343 multi-frame micrographs composed of 25 frames each in TIFF format]

EMPIAR-10275

Structure of a synthetic beta-carboxysome shell [1343 multi-frame micrographs composed of 25 frames each in TIFF format]

Publication:

Structure of a Synthetic β-Carboxysome Shell

Sutter M, Laughlin TG, Sloan NB, Serwas D, Davies KM, Kerfeld CA

Plant physiology 181 (2019) 1050-1058

PMID: 31501298

DOI: 10.1104/pp.19.00885

Related EMDB entry:

EMD-20207 EMD-20210 EMD-20208 EMD-20209

Deposited:

2019-05-08

Released:

2019-12-19

Last modified:

2020-01-29

Imageset size:

423.49 GB

Imageset DOI:

10.6019/EMPIAR-10275

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Unaligned multiframe micrographs for synthetic carboxysome shells

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

1343

Image size:

(7420, 7676)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(0.4454, 0.4454)

Details:

LZW-TIFF super-resolution movies consisting of 25 frames with cumulative exposure of 50 electrons per square Angstrom.

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Citations

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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

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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)