EMPIAR-12309 - Single-particle cryo-EM unaligned micrographs of antibody T5-1E08 UCA in complex with stabilized H1N1 Influenza Hemagglutinin Trimer (A/Kiev/1/57) [7213 multi-frame micrographs composed of 40 frames each in TIFF format]

EMPIAR-12309

Single-particle cryo-EM unaligned micrographs of antibody T5-1E08 UCA in complex with stabilized H1N1 Influenza Hemagglutinin Trimer (A/Kiev/1/57) [7213 multi-frame micrographs composed of 40 frames each in TIFF format]

Publication:

Distinct binding modes drive the broad neutralization profile of two persistent influenza hemagglutinin stem-specific antibody lineages

Cerutti G, Chambers M, Gillespie RA, Shimberg GD, Spangler A, Gorman J, Zhou T, Shen CH, Kanekiyo M, Kwong PD, Shapiro L, Andrews SF

Structure (London, England : 1993) (2025)

PMID: 40112805

DOI: 10.1016/j.str.2025.02.010

Related EMDB entry:

EMD-43172

Deposited:

2024-09-26

Released:

2025-04-24

Last modified:

2025-04-24

Imageset size:

1.67 TB

Imageset DOI:

10.6019/EMPIAR-12309

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

1. Single-particle cryo-EM unaligned micrographs of antibody T5-1E08 UCA in complex with stabilized H1N1 Influenza Hemagglutinin Trimer (A/Kiev/1/57)

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

7213

Image size:

(5760, 4092)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(1.083, 1.083)

Details:

---

Files:

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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)