Fluorescence Monitoring
Fluorescence Monitoring - Related Videos
03:36
Fluorescence-Based Monitoring of Mitochondrial Stress in Astrocytes
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2025
This video demonstrates the evaluation of mitochondrial health in genetically modified astrocytes, which express a fluorescent protein within their mitochondria. The protein helps to track changes in mitochondrial health as its fluorescence changes from green to red, indicating stress or damage. Images are captured and analyzed using various parameters.
10:04
Using Fluorescent Proteins to Monitor Glycosome Dynamics in the African Trypanosome
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Cited by 4 •
2014
Glycosome dynamics in African trypanosomes are difficult to study by traditional cell biology techniques such as electron and fluorescence microscopy. As a means of observing dynamic organelle behavior, a fluorescent-organelle reporter system has been used in conjunction with flow cytometry to monitor real-time glycosome dynamics in live parasites.
10:27
A Fluorescence Microscopy Assay for Monitoring Mitophagy in the Yeast Saccharomyces cerevisiae
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Cited by 26 •
2011
A robust approach to monitor the delivery of organelles to the acidic lumen of the yeast vacuole for degradation and recycling is described. The method relies on the specific labeling of target organelles with a genetically encoded dual-emission fluorescence pH-biosensor, and visualization of individual cells using fluorescence microscopy.
08:37
Fluorescence-based Monitoring of PAD4 Activity via a Pro-fluorescence Substrate Analog
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Cited by 3 •
2014
PAD4 is an enzyme responsible for the conversion of peptidyl-arginine to peptidyl-citrulline. Dysregulation of PAD4 has been implicated in a number of human diseases. A facile and high-throughput compatible fluorescence based PAD4 assay is described.
07:02
Monitoring Neuronal Survival via Longitudinal Fluorescence Microscopy
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Cited by 34 •
2019
Here, we present a protocol to monitor survival on a single-cell basis and identify variables that significantly predict cell death.
FAQs
A fluorophore absorbs excitation light and briefly reaches a higher-energy state. As it returns toward its original state, it releases part of the absorbed energy as light with a longer wavelength. This separation between excitation and emission allows detectors to distinguish the fluorescent signal from the incoming illumination, making changes in the signal measurable over time.
Emission intensity indicates how much fluorescent signal is detected, whereas the emission spectrum describes its wavelength pattern. The signal’s location shows where fluorescence occurs within a sample. Examining these features separately or together can help track changes in molecular interactions, ion concentrations, enzyme activity, or the distribution of biological signals.
The fluorophore provides the light-emitting signal, while a fluorescent probe or reporter protein connects that signal to a biological process. Excitation at an appropriate wavelength and detection of emission intensity, spectrum, or location supply the measurements. Together, these components allow researchers to observe changing molecular or cellular behavior rather than only a fixed endpoint.
A typical workflow selects a fluorescent probe, reporter protein, or other fluorophore suited to the biological question. The sample is exposed to excitation light, and an instrument detects the resulting emission. Measurements are collected over time and examined for changes in intensity, spectrum, or location, which are then related to the process under study.
The approach is useful when researchers need to observe dynamic biological processes in living cells or tissues. Fluorescent probes and reporter proteins can help track ion concentrations, enzyme activity, molecular interactions, and patterns of gene or protein expression. Microscopy-based instruments also preserve information about where these changes occur within the biological sample.
By revealing time-dependent changes in biological signals, fluorescence monitoring connects molecular events with broader cellular or tissue behavior. In physiology, it can follow normal biological processes; in disease research, it can expose altered mechanisms; and in drug development, it can help examine responses associated with molecular targets, cellular activity, or viability.