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*CIL – Cell Image Library accession number. Please use this to reference an image.

CIL:57555*  Cite 
Description

This dataset presents a ZT14 (two hours after lights OFF) three-dimensional Serial Block-Face Scanning Electron Microscopy (SBEM) volume of the dorsal terminals of small Lateral ventral Neurons (s-LNvs) in the adult Drosophila melanogaster brain. These neurons, which express the neuropeptide Pigment-Dispersing Factor (PDF), serve as key circadian pacemakers that synchronize the brain’s clock network.

Technical Details

SBEM was performed using a Zeiss GeminiSEM 300 equipped with a Gatan 3View system and a focal nitrogen gas injection setup to minimize charging and enhance image quality under high vacuum conditions. Samples were prepared from adult female Drosophila melanogaster brains expressing mito::APEX2 under the Pdf-GAL4 driver, labeling mitochondria within PDF-expressing neurons. Fixation was carried out with 2.5% glutaraldehyde and 2% paraformaldehyde in 0.15 M cacodylate buffer, followed by a DAB reaction, osmium tetroxide, potassium ferrocyanide, uranyl acetate, and lead aspartate staining. The samples were embedded in Durcupan resin at 60 °C for 72 hours. SBEM datasets were collected at an accelerating voltage of 2.5 kV, with a z-step size of 50 nm and 5 nm pixel resolution in x and y. Regions of interest were identified and registered in advance using Micro-Computed Tomography (Micro-CT) and confocal fluorescence imaging for correlative light and electron microscopy (CLEM).

Biological Sources
NCBI Organism Classification
Drosophila melanogaster
Cell Type
The imaged cells are small Lateral ventral Neurons (s-LNvs) in Drosophila melanogaster—PDF-expressing pacemaker neurons that regulate circadian rhythms and were identified by Pdf-GAL4–driven mito::APEX2 and Pdf-RFP labeling.
Cellular Component
Within the reconstructed volumes, the primary cellular components analyzed include mitochondria, dense-core vesicles (DCVs), presynaptic sites (T-bars), plasma membranes, and varicosities.
Biological Context
Biological Process
The dataset shows daily structural changes in s-LNv terminals that regulate neuropeptide release and synaptic activity as part of circadian rhythm modulation.
Attribution
Names
Keun-Young Kim
María Fernanda Ceriani
Mark H Ellisman
Citation
Digital Object Identifier (DOI)
doi:10.7295/W9CIL57555
Archival Resource Key (ARK)
ark:/b7295/w9cil57555
Grouping This image is part of a group.
Imaging
Image Mode
SBEM was performed using a GeminiSEM 300 (Zeiss, Oberkochen, Germany) equipped with a Gatan 3View system and a focal nitrogen gas injection setup. This configuration enabled precise delivery of nitrogen gas over the blockface during high-vacuum imaging to maximize resolution. Images were acquired at 2.5 kV accelerating voltage and 1 µs dwell time, with a z-step of 50 nm. Raster sizes were 16k × 14k for ZT2, 20k × 20k for ZT14, and 20k × 24k for ZT22, producing approximately 900–1500 serial sections per volume. Imaging was conducted under high vacuum with 90% nitrogen gas injection to the sample surface. Prior to SBEM, correlative imaging with confocal microscopy of Pdf-RFP–labeled neurons and Micro-Computed Tomography (Micro-CT) was used to identify and register the region of interest for targeted volume acquisition.
Visualization Methods
Three-dimensional reconstruction and visualization were performed using IMOD for manual segmentation and surface rendering, supplemented by Python-based analysis for volumetric quantification. Automated segmentation pipelines were developed using Residual Attention U-Net convolutional neural networks to identify mitochondria and dense-core vesicles, while pyclesperanto enabled GPU-accelerated 3D segmentation and object labeling.