Fluorescence Analysis
Fluorescence Analysis - Related Videos
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.
06:27
Automated Analysis of C. elegans Fluorescence Images using SegElegans
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2025
Here we provide instructions on effectively utilizing SegElegans, a deep learning system we developed for the automated segmentation of individual worms in widefield microscopy images, for subsequent use in image analysis software such as ImageJ. We provide ways to use the system both online and offline.
09:59
Quantitative Analysis of Autophagy using Advanced 3D Fluorescence Microscopy
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Cited by 3 •
2013
Autophagy is a ubiquitous process that enables cells to degrade and recycle proteins and organelles. We apply advanced fluorescence microscopy to visualize and quantify the small, but essential, physical changes associated with the induction of autophagy, including the formation and distribution of autophagosomes and lysosomes, and their fusion into autolysosomes.
02:56
Fluorescence-Based Sorting of Individual Virus Particles for Genomic Analysis
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2026
Source: Zeigler Allen, L., et al. Isolation and Genome Analysis of Single Virions using 'Single Virus Genomics'. J. Vis. Exp. (2013).This video demonstrates how flow cytometry enables the isolation of individual, genome-containing viruses from mixed populations through fluorescence-based detection and precise particle sorting, followed by agarose embedding for subsequent genomic characterization.
11:25
Cell Specific Analysis of Arabidopsis Leaves Using Fluorescence Activated Cell Sorting
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Cited by 21 •
2012
A method for producing Arabidopsis leaf protoplasts that are compatible with fluorescence activated cell sorting (FACS), allowing for studies of specific cell populations. This method is compatible with any Arabidopsis line that expresses GFP in a subset of cells.
FAQs
The excitation wavelength supplies the energy needed to promote a particular fluorophore into a higher-energy state. Selecting an appropriate wavelength allows the target fluorescent molecule to respond measurably, which supports consistent detection and comparison across biological samples. In bioengineering, this enables fluorescence signals to be linked more reliably to the material or process under investigation.
Intensity and spectral shape provide complementary information rather than a single measurement. Intensity can indicate how much fluorescent material is present, while spectral features can reflect the fluorophore’s molecular environment or interactions with other molecules. This distinction helps bioengineers assess concentration-related changes separately from changes in molecular state or local biological conditions.
Its sensitivity allows researchers to detect changes using small sample volumes while retaining spatial or temporal resolution. As a result, fluorescence measurements can follow biological processes as they change rather than only characterize a final sample. This capability is valuable for observing cell behavior, molecular interactions, and other evolving phenomena in engineered biological systems.
Measurements of fluorescence intensity and emission spectra can reveal changes associated with a protein’s concentration, environment, or interactions with other molecules. These signals give researchers a way to examine molecular behavior without relying only on bulk material characterization. In bioengineering, that information can guide protein studies and help evaluate how biological components function within designed systems.
A typical analysis selects an excitation wavelength, exposes the fluorescent sample to that energy, and records the resulting emission. Researchers can then examine emission intensity, spectral features, or both, depending on the question. Comparing these measurements across samples or conditions can reveal changes in concentration, molecular environment, or interactions.
Fluorescence signals can identify biological materials within a sample, allowing researchers to visualize their location and follow changes over time. This makes the technique useful for imaging and cell tracking, where spatial information matters alongside signal intensity. In bioengineering, such measurements help monitor cells as they participate in designed biological systems or engineered tissue studies.
Biosensors can use fluorescence changes as measurable indicators of biological conditions, molecular presence, or interactions. By evaluating signal intensity or emission spectra, researchers can characterize how a sensing system responds to its target. The technique’s sensitivity and compatibility with small sample volumes make it useful when developing systems intended to detect changing biological signals.
Fluorescence measurements provide information about biological materials and processes within engineered tissues, including changes that may occur across space or time. Researchers can apply imaging and signal analysis to monitor tissue-associated behavior rather than relying only on endpoint observations. This supports assessment of how engineered tissues develop, function, or respond within bioengineering experiments.