EMPIAR-11952 - Single-particle cryo-EM unaligned micrographs of antibody T5-1E08 in complex with stabilized H1N1 Influenza Hemagglutinin Trimer (A/Kiev/1/57) [13653 multi-frame micrographs composed of 50 frames each in TIFF format]

EMPIAR-11952

Single-particle cryo-EM unaligned micrographs of antibody T5-1E08 in complex with stabilized H1N1 Influenza Hemagglutinin Trimer (A/Kiev/1/57) [13653 multi-frame micrographs composed of 50 frames each in TIFF format]

Publication:

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

Mantus GE, 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) 33 (2025) 869-877.e7

PMID: 40112805

DOI: 10.1016/j.str.2025.02.010

Related EMDB entry:

EMD-43169

Deposited:

2024-03-06

Released:

2025-06-19

Last modified:

2025-06-19

Imageset size:

3.38 TB

Imageset DOI:

10.6019/EMPIAR-11952

Experimental metadata:

Download xml json

Contains:

micrographs - multiframe

Image Sets

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

Category:

micrographs - multiframe

Image format:

TIFF

No. of images or tilt series:

13653

Image size:

(5760, 4092)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(1.076, 1.076)

Details:

---

Files:

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Citations

AlignPCA-2D: PCA-reduced Euclidean vector alignment for 2D classification in cryo-EM.

Ramírez-Aportela E, Zarrabeitia OL, Fonseca YC, Ceska T, Subramaniam S, Carazo JM, Sorzano COS. (2026)

A variational framework with composite sparse regularization for cryo-electron tomography reconstruction.

Yu C, Xu Z, Zeng Q, Wan X, El-Messiry H, Zhang F, Han R. (2026)

Helical reconstruction of amyloids in cryoSPARC.

Schaefer JH, O'Neill RT, Donnelly JP, Powers ET, Kelly JW, Lander GC. (2026)

An unattended image-processing pipeline for on-the-fly quality assessment and 3D exploration in cryo-EM.

Marchán Torres D, Conesa P, Garcia A, Iceta M, Broche L, Gragera M, Linares R, Kwong HS, Chichón FJ, Svensson O, Arranz R, Effantin G, Kandiah E, Carazo JM, Sorzano COS. (2026)

CryoFSL: an annotation-efficient, few-shot learning framework for robust protein particle picking in cryo-electron microscopy micrographs.

Poudel B, Gyawali R, Dhakal A, Cheng J, Xu D. (2026)

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)

Unbend, correction of local beam-induced sample motion in cryo-EM images using a 3D spline model.

Kong L, Zottig X, Elferich J, Grigorieff N. (2026)

CryoVirusDB: An Annotated Dataset for AI-Based Virus Particle Identification in Cryo-EM Micrographs.

Gyawali R, Dhakal A, Wang L, Cheng J. (2026)

CryoWriter: a robotic solution for improved Cryo-EM grid preparation.

Kv C, Ekundayo B, Di Fabrizio M, Mohammed I, Radecke J, Stahlberg H, Kube M. (2026)