Confocal Image Stacks
Confocal Image Stacks - Related Videos
03:16
Three-dimensional Imaging of Immunolabeled Astrocytes Using Confocal Microscopy
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2025
Source: Bagheri, M., et. al. Protocol for Three-dimensional Confocal Morphometric Analysis of Astrocytes. J. Vis. Exp. (2015).This video demonstrates the imaging of fluorescently labeled astrocytes in a mouse brain section using a confocal microscope. The brain section is positioned under the appropriate objective lens, and suitable fluorophores and filters are selected. After optimizing the exposure automatically, the scanning parameters are defined to ensure high-resolution 2D images. Z-stack...
07:27
Live Confocal Imaging of Developing Arabidopsis Flowers
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Cited by 16 •
2017
Live confocal imaging provides biologists with a powerful tool to study development. Here, we present a detailed protocol for the live confocal imaging of developing Arabidopsis flowers.
05:25
Quantification of Dendritic Spines Using Confocal Microscopy Imaging
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2025
Source: Gouder, et. al. Three-dimensional Quantification of Dendritic Spines from Pyramidal Neurons Derived from Human Induced Pluripotent Stem Cells. J. Vis. Exp. (2015).This video demonstrates the imaging and analysis of dendritic spines in transduced, immunolabeled pyramidal neurons using confocal microscopy. Background noise is reduced, and dendrites are traced by estimating their diameter and length. Automated spine segmentation involves setting parameters for dendrite and spine dimensions...
10:48
Imaging Biological Samples with Optical and Confocal Microscopy
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2023
Source: Peiman Shahbeigi-Roodposhti and Sina Shahbazmohamadi, Biomedical Engineering Department, University of Connecticut, Storrs, Connecticut Optical microscopes have been around for centuries, and while they reached their theoretical limitation of resolution decades ago, new equipment and techniques, such as confocal and digital image processing, have created new niches within the field of optical imaging. The best optical microscopes will typically have a resolution down to 200 nm in ideal...
09:10
Ex Vivo Imaging of Postnatal Cerebellar Granule Cell Migration Using Confocal Macroscopy
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Cited by 8 •
2015
During postnatal cerebellum development, immature granule cells originating from the germinal zone exhibit distinct modalities of migration to reach their final destination and to establish neuronal networks. This protocol describes the preparation of cerebellar slices and the confocal macroscopic approach used to investigate the factors that regulate neuronal migration.
FAQs
The pinhole rejects much of the fluorescence originating above and below the focal plane, so detected signal is more closely associated with a defined depth. Repeating this optical sectioning through the specimen produces images with improved separation of structures along the z-axis. This depth discrimination helps distinguish overlapping neuronal processes that may appear superimposed in a single image.
Neuronal processes extend through tissue in three dimensions, so one optical section may omit branches, projections, or spatial relationships located at other depths. Sequential sections preserve depth-dependent information that can later be assembled into a volume. This makes it possible to examine morphology and cellular organization more completely than with an isolated two-dimensional view.
A single image records structures within one focal plane and may not show how labeled features continue through the specimen. A stack preserves a sequence of depth-specific views, allowing researchers to inspect the same structure across multiple planes and reconstruct its three-dimensional arrangement. This distinction is especially useful when neuronal elements overlap in projection.
Researchers first use fluorescent labels to mark structures of interest, then focus the laser at selected depths and collect sequential optical sections while moving through the z-axis. The resulting images are combined into a three-dimensional volume. Careful selection of the depth range is important because the final reconstruction can only represent information captured within the collected sections.
In neuroscience, these datasets support examination of neuronal morphology, including dendritic branching and axonal projections, as well as the distribution of synaptic markers. They can also reveal how cells and labeled structures are organized within tissue. Such spatial information helps researchers study connectivity and the localization of particular neuronal features.
Three-dimensional reconstructions allow quantitative assessment of structural features that are difficult to judge from a single optical section. Researchers can relate measured morphology, labeling patterns, and spatial organization to developmental changes, injury, or disease. The resulting comparisons may show alterations in neuronal structure, connectivity, or the localization of markers within tissue.