Endogenous Fluorescent Imaging
Endogenous Fluorescent Imaging - Related Videos
12:03
Detection of Microregional Hypoxia in Mouse Cerebral Cortex by Two-photon Imaging of Endogenous NADH Fluorescence
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Cited by 11 •
2012
Here we describe a method to directly visualize microregional tissue hypoxia in the mouse cortex in vivo. It is based on concurrent two-photon imaging of nicotinamide adenine dinucleotide (NADH) and the cortical microcirculation. This method is useful for high resolution analysis of tissue oxygen supply.
10:37
CRISPR/Cas9-mediated Endogenous Fluorescent Tagging of Germline-specific Genes in Caenorhabditis elegans
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2026
A CRISPR/Cas9 microinjection workflow for endogenous fluorescent tagging in the Caenorhabditis elegans germline to obtain homozygous knock-in lines for in vivo protein localization analysis.
06:46
Non-invasive In Vivo Fluorescence Optical Imaging of Inflammatory MMP Activity Using an Activatable Fluorescent Imaging Agent
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Cited by 4 •
2017
This paper explains the application of fluorescent imaging using an activatable optical imaging probe to visualize the in vivo activity of key matrix metalloproteinases in two different experimental models of inflammation.
11:41
Rapid Analysis and Exploration of Fluorescence Microscopy Images
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Cited by 3 •
2014
Here we describe a workflow for rapidly analyzing and exploring collections of fluorescence microscopy images using PhenoRipper, a recently developed image-analysis platform.
03:40
Imaging of Fluorescently-Labeled Motor Neurons in an Adult Drosophila Leg
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2025
Source: Guan, W., et. al. Visualize Drosophila Leg Motor Neuron Axons Through the Adult Cuticle. J. Vis. Exp. (2018) This video demonstrates imaging of Drosophila legs with green fluorescent protein-expressing motor neurons using confocal microscopy. A laser and two detectors capture GFP and cuticle autofluorescence. Images are processed by splitting channels, subtracting autofluorescence, and merging into a colored composite image to visualize axons within the leg segment.
FAQs
Excitation and emission wavelengths determine how endogenous fluorescent signals are detected. An appropriate excitation wavelength supplies energy that fluorophores absorb, while the resulting emission occurs at a longer wavelength. The microscope uses that emitted light to localize fluorescent features and follow changes over time, producing images that retain both spatial and temporal information.
Different signal sources can correspond to different structures, activity states, or chemical conditions within cells and tissues. Imaging these signals can therefore provide more than a static anatomical view: it can relate neuronal morphology to network activity, cellular metabolism, or changes associated with injury and disease. This broad signal range supports multidimensional observations in neuroscience.
Because the approach can reduce disruption caused by externally added labels, researchers can examine cells or tissues under conditions closer to their living state. This is particularly relevant when the goal is to connect changing fluorescence patterns with neuronal function rather than only document fixed structure. The reduced labeling burden can also support observations of ongoing biological changes.
The preparation is illuminated at a wavelength suitable for the fluorophores present, and a sensitive microscope collects the longer-wavelength emission. The detected signal is then used to form an image with spatial and temporal resolution. The key outcome is a record of where fluorescence occurs and how it changes, enabling structural or functional interpretation.
Endogenous fluorescent imaging can be applied to neuronal morphology, network activity, cellular metabolism, and changes linked with injury or disease. Its value comes from examining these dimensions within cells or tissues, allowing researchers to relate structural patterns or chemical changes to neuronal function. The same approach can therefore support both cellular studies and broader investigations of neural systems.
A signal that is resolved over time can be examined alongside changes in neuronal function, rather than interpreted only as a spatial pattern. This supports investigations in which activity, metabolism, or injury-related changes evolve within living preparations, helping connect molecular or metabolic events with the function of neurons and the state of surrounding neural tissue.