EMPIAR-13028 - Cryo-correlative light and electron tomography of dopaminergic axonal varicosities reveals non-synaptic modulation of cortico-striatal synapses [400 reconstructed volumes in MRC format]

EMPIAR-13028

Cryo-correlative light and electron tomography of dopaminergic axonal varicosities reveals non-synaptic modulation of cortico-striatal synapses [400 reconstructed volumes in MRC format]

Publication:

Cryo-correlative light and electron tomography of dopaminergic axonal varicosities reveals non-synaptic modulation of cortico-striatal synapses

Paul Lapios PL, Robin Anger RA, Vincent Paget-Blanc VPB, Esther Marza EM, Vladan Lucic VL, Remi Fronzes RF, Etienne Herzog EH, David Perrais DP

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Related EMDB entry:

Deposited:

2025-10-06

Released:

2025-10-15

Last modified:

2025-10-15

Imageset size:

133.04 GB

Imageset DOI:

10.6019/EMPIAR-13028

Experimental metadata:

Download xml json

Contains:

reconstructed volumes

Image Sets

1. Tomograms and 3D models of dopaminergic (DA), glutamatergic (GLU), hub synapses (DHS).

Category:

reconstructed volumes

Image format:

MRC

No. of images or tilt series:

400

Image size:

(None, None)

Pixel type:

32 BIT FLOAT

Pixel spacing:

(15.59, 15.59)

Details:

Reconstructed tomograms are accompanied by 3D models, manually segmented with 3dmod. The color code helps to identify the dopaminergic (magenta) or glutamatergic (green) synaptosome.

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Citations

prismPYP: Power-spectrum and image domain learning for self-supervised micrograph evaluation.

He L, Bartesaghi A. (2026)

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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)

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)

Dual site targeting of the bacterial 70S ribosome by tetracyclines.

Devarkar SC, Lomakin IB, Wang J, Grada A, Bunick CG. (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)