Dendritic Orientation
Dendritic Orientation - Related Videos
06:08
Automatic Identification of Dendritic Branches and their Orientation
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Cited by 1 •
2021
Presented is a computational tool that allows simple and direct automatic measurement of orientations of neuronal dendritic branches from 2D fluorescence images.
08:41
Analyzing Dendritic Morphology in Columns and Layers
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2017
Here, we show how to analyze dendritic routing of Drosophila medulla neurons in columns and layers. The workflow includes a dual-view imaging technique to improve the image quality and computational tools for tracing, registering dendritic arbors to the reference column array and for analyzing the dendritic structures in 3D space.
01:30
Oriented Surfaces
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2026
A surface is called orientable if a consistent choice of unit normal vector can be made at every point on the surface. A thin soap film stretched across a wire loop provides a familiar example. The film separates the air on one side from the air on the other, so one side can be selected as positive and the opposite side as negative. Once this choice is made, a unit normal vector can be assigned smoothly across the entire surface.At each point on the soap film, a unit normal vector points...
04:27
Analyzing Dendritic Morphology Across Drosophila Medulla Layers and Columns
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2025
Source: Ting, C., et al., Analyzing Dendritic Morphology in Columns and Layers. J. Vis. Exp. (2017)This video demonstrates the procedure of preparing a Drosophila brain, capturing horizontal and frontal image stacks of GFP-labeled medulla dendrites under a confocal microscope, and creating a 3D reconstruction to analyze their morphology across layers and columns.
09:04
Isolation of Mouse Lung Dendritic Cells
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Cited by 17 •
2011
A highly purified preparation of mouse lung dendritic cells is described. Specific emphasis is given to the isolation of conventional dendritic cell subset.
FAQs
Dendritic orientation helps determine where synapses are positioned across a neuron’s receptive regions. Because dendrites receive and integrate synaptic information, their directional arrangement can influence which incoming axons contact the cell and how inputs are organized within its structure. This creates a morphological link between dendritic layout, connectivity, and the neuron’s functional responses.
During development, dendrites extend and branch while responding to the surrounding cellular and tissue environment. Neighboring cells, overall tissue architecture, and incoming axons can influence how branches align and where they form receptive regions. Studying these relationships helps investigators examine the cellular mechanisms that organize dendritic structure as neural circuits are established.
Differences in dendritic orientation may reflect the distinct architectural and connectivity requirements of particular neural regions or developmental periods. Comparing these patterns can show how neuronal morphology relates to circuit organization and changing inputs. Such comparisons also help identify whether orientation is associated with the establishment, refinement, or disruption of functional neural networks.
Imaging and quantitative tracing methods provide the main approaches described for examining dendritic orientation. Imaging reveals the arrangement of branches within their cellular and tissue context, while tracing supports more systematic analysis of dendritic structure. Applying these methods across selected brain regions, developmental stages, or disease states can expose meaningful changes in neuronal organization.
Comparative analysis can connect structural patterns with connectivity, sensory tuning, and broader circuit organization. Investigators may examine whether dendritic orientation differs across brain regions, changes during development, or is altered in disease states. The resulting patterns provide cellular-level evidence about how neuronal morphology contributes to the formation and functional arrangement of neural networks.
The orientation of dendritic branches can help position synapses relative to incoming axons and distinct receptive regions of a neuron. This arrangement offers a structural basis for relating cellular morphology to sensory tuning, although the orientation pattern must be interpreted within its surrounding tissue and connectivity context. Consequently, it can help explain how circuits organize responses to sensory information.