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Deposition

Cryo-electron tomography of axons and varicosities in cultured primary mouse dorsal root ganglion neurons (baseline data and annotations)

  • Deposition ID:CZCDP-10362

Release Date: 2026-08-14

Last Modified: 2026-08-14

key visualization for Cryo-electron tomography of axons and varicosities in cultured primary mouse dorsal root ganglion neurons (baseline data and annotations)

Photo Caption: Central slab of 4 representative tomograms with selected sets of annotations.

Deposition Overview

Cryo-electron tomography of intact, unmilled peripheral axons and their varicosities in primary dorsal root ganglion neurons dissociated from 3-month-old mice and cultured for 48 h on gold Quantifoil grids. Neurons were plunge-frozen without fixation or staining, and the thin axonal processes growing over the grid were imaged directly. Most tilt series were collected on a Titan Krios at 300 kV with a Gatan energy filter and a K2 Summit detector; a comparative subset was collected on a Glacios at 200 kV with a Selectris energy filter and a Falcon 4i detector. No differences in structural information were noted between the two instruments and the data were pooled for analysis. Tomograms were reconstructed by weighted back-projection in IMOD and denoised by IsoNet deconvolution. Organelle membranes were pre-segmented with MemBrain-seg and microtubules with TARDIS-MT, then manually curated in Amira into a multi-class semantic scheme spanning the plasma membrane, microtubules, mitochondria, endoplasmic reticulum and vesicles enclosed within it, multivesicular bodies, multilamellar vesicles, endosomes, phagophores and free cytoplasmic vesicles. The deposition holds 105 tomograms, drawn from the 192 reconstructed for the study, together with their raw movies and tilt series; all of them carry a segmentation.

Deposition Data

Annotations:776

Tomograms:134

Related Databases

Not Submitted

Methods Summary

Annotations
Method Type
Method Details
Method Links
776
Hybrid
MemBrain-seg (membranes) and TARDIS-MT (microtubules) pre-segmentation, manually curated into organelle classes in Amira on 4x-binned, IsoNet-deconvolved tomograms.
Source Code:IsoNet source code
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Deposited Data

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Data Contents

Tilt SeriesAvailable
FramesAvailable
CTFNA
AlignmentNA

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776 of 776 Annotations

Annotation Name
Object Shape Type
Method Type
Deposited In

109endoplasmic reticulum

Annotation ID: AN-182956

SegmentationMask
Hybrid

108cytoplasmic vesicle

Annotation ID: AN-182955

SegmentationMask
Hybrid

103microtubule

Annotation ID: AN-182954

SegmentationMask
Hybrid

102plasma membrane

Annotation ID: AN-182953

SegmentationMask
Hybrid

101mitochondrial inner membrane

Annotation ID: AN-182952

SegmentationMask
Hybrid

100mitochondrial outer membrane

Annotation ID: AN-182951

SegmentationMask
Hybrid

110endoplasmic reticulum

Annotation ID: AN-182950

SegmentationMask
Hybrid

108cytoplasmic vesicle

Annotation ID: AN-182949

SegmentationMask
Hybrid

103microtubule

Annotation ID: AN-182948

SegmentationMask
Hybrid

102plasma membrane

Annotation ID: AN-182947

SegmentationMask
Hybrid

100mitochondrial outer membrane

Annotation ID: AN-182946

SegmentationMask
Hybrid

114endoplasmic reticulum

Annotation ID: AN-182945

SegmentationMask
Hybrid

112endosomal intralumenal vesicle

Annotation ID: AN-182944

SegmentationMask
Hybrid

111endosome

Annotation ID: AN-182943

SegmentationMask
Hybrid

108cytoplasmic vesicle

Annotation ID: AN-182942

SegmentationMask
Hybrid

105vesicle

Annotation ID: AN-182941

SegmentationMask
Hybrid

102plasma membrane

Annotation ID: AN-182940

SegmentationMask
Hybrid

101mitochondrial inner membrane

Annotation ID: AN-182939

SegmentationMask
Hybrid

100mitochondrial outer membrane

Annotation ID: AN-182938

SegmentationMask
Hybrid

111endoplasmic reticulum

Annotation ID: AN-182937

SegmentationMask
Hybrid
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