EMPIAR-12915 - Cryo ET of Native Hippocampal Glutamatergic Synapses Using Dimeric AuNP Labeling [multiple data sets in EER format]

EMPIAR-12915

Cryo ET of Native Hippocampal Glutamatergic Synapses Using Dimeric AuNP Labeling [multiple data sets in EER format]

Publication:

Dimeric gold nanoparticles enable multiplexed labeling in cryoelectron tomography.

Kim H, Spangler CJ, Matsui A, Elferich J, Kim J, Roseborough A, Nyman M, Lahtinen TM, Gouaux E

Proceedings of the National Academy of Sciences of the United States of America 122 (2025)

PMID: 41284882

DOI: 10.1073/pnas.2524034122

Related EMDB entry:

EMD-72057 EMD-72058 EMD-72059 EMD-72056

Deposited:

2025-08-05

Released:

2025-12-17

Last modified:

2025-12-17

Imageset size:

18.42 GB

Imageset DOI:

10.6019/EMPIAR-12915

Experimental metadata:

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Contains:

micrographs - multiframe

Image Sets

1. EMD-72056

Category:

micrographs - multiframe

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EER

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(4096, 4096)

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UNSIGNED BYTE

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(1.9, None)

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2. EMD-72057

Category:

micrographs - multiframe

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EER

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(4096, 4096)

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3. EMD-72058

Category:

micrographs - multiframe

Image format:

EER

No. of images or tilt series:

Image size:

(4096, 4096)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(1.9, None)

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4. EMD-72059

Category:

micrographs - multiframe

Image format:

EER

No. of images or tilt series:

Image size:

(4096, 4096)

Pixel type:

UNSIGNED BYTE

Pixel spacing:

(1.9, None)

Details:

---

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)