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

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)