Fluorescent Cell Detection
Fluorescent Cell Detection - Related Videos
03:05
Detection of Bacterial Adherence to Host Cells Using Fluorescence Imaging
0 Views •
2025
This video demonstrates the bacterial adherence assay to evaluate GFP-tagged bacterial adherence to epithelial cell culture to study the dynamics of host-pathogen interactions using fluorescence microscopy-based imaging.
03:44
Detection of Inflammasome Activation via Fluorescence Microscopy
0 Views •
2025
This video demonstrates a method to detect NLRP3 inflammasome activation in macrophages using fluorescent reporter probes. The cells are treated with potassium ionophores and glycine to induce inflammasome assembly and caspase-1 activation. Fluorescent reporter probes visualize activated caspase-1, and cells are stained with a fluorescent dye for nuclei visualization.
14:16
Fluorescence detection methods for microfluidic droplet platforms
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Cited by 20 •
2011
Droplet-based microfluidic platforms are promising candidates for high throughput experimentation since they are able to generate picoliter, self-compartmentalized vessels inexpensively at kHz rates. Through integration with fast, sensitive and high resolution fluorescence spectroscopic methods, the large amounts of information generated within these systems can be efficiently extracted, harnessed and utilized.
09:10
Combination of Adhesive-tape-based Sampling and Fluorescence in situ Hybridization for Rapid Detection of Salmonella on Fresh Produce
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Cited by 17 •
2010
This protocol describes a simple adhesive-tape-based approach for sampling of tomato and other fresh produce surfaces, followed by rapid whole cell detection of Salmonella using fluorescence in situ hybridization (FISH).
07:31
Detection of Fluorescent Nanoparticle Interactions with Primary Immune Cell Subpopulations by Flow Cytometry
0 Views •
Cited by 13 •
2014
Analysis of nanoparticle interaction with defined subpopulations of immune cells by flow cytometry.
FAQs
Fluorophores first absorb excitation light and then release part of that energy as emitted light at a longer wavelength. This difference allows fluorescence microscopes to separate label-derived signals from the original illumination. As a result, labeled cells can be distinguished from surrounding tissue, supporting more selective visualization within complex biological samples.
The microscope detects light emitted by fluorescent labels, while image-analysis software helps identify and analyze the corresponding cellular signals. Together, these tools separate visible labeled populations from unlabeled surrounding material. This combination supports measurements such as cell counts, spatial distributions, and cellular morphology rather than relying only on overall tissue appearance.
In neuroscience, fluorescent cell detection can reveal the presence, number, location, and morphology of neurons and glial cells. Examining these features helps characterize cellular organization within neural samples. Comparing patterns of distribution or shape can also help researchers relate cellular structure to neural function or changes associated with disease.
The method can be applied to neuronal and glial populations in cultures, brain sections, and intact tissues. These sample types provide different views of neural organization, from cells studied in culture to cells preserved within tissue architecture. Selecting among them allows researchers to examine cellular patterns in settings relevant to their experimental question.
Fluorescent signals make selected cell populations visible, after which microscopy and image-analysis software support counting and spatial mapping. Counting estimates how many labeled cells are present, while mapping records where they occur within the sample. Together, these measurements describe both population size and organization across neural cultures, sections, or intact tissue.
Researchers can compare fluorescently detected cells before and after experimental treatments to assess changes in cell number, distribution, or morphology. In neuroscience, these measurements help determine whether cellular organization shifts under an intervention or in a disease-related context. The resulting structural information can then be considered alongside broader questions about neural function.