Quantitative Fluorescence Microscopy
Quantitative Fluorescence Microscopy - Related Videos
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.
06:52
Quantitative Live Cell Fluorescence-microscopy Analysis of Fission Yeast
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Cited by 11 •
2012
The fission yeast, Schizosaccharomyces pombe, is a good model system to study basic cellular processes. Here we describe a method to perform quantitative live cell analysis of fission yeast. In this particular experiment we focus on organisation of the genome within the cell nucleus, but the method can also be used to study cytosolic factors.
09:22
Introduction to Fluorescence Microscopy
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2023
Fluorescence microscopy is a very powerful analytical tool that combines the magnifying properties of light microscopy with visualization of fluorescence. Fluorescence is a phenomenon that involves absorbance and emission of a small range of light wavelengths by a fluorescent molecule known as a fluorophore. Fluorescence microscopy is accomplished in conjunction with the basic light microscope by the addition of a powerful light source, specialized filters, and a means of fluorescently...
11:36
Intravital Microscopy of the Spleen: Quantitative Analysis of Parasite Mobility and Blood Flow
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Cited by 17 •
2012
We show the method for performing intravital microscopy of the spleen using GFP transgenic malaria parasites and the quantification of parasite mobility and blood flow within this organ.
11:23
Lensless Fluorescent Microscopy on a Chip
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Cited by 8 •
2011
A lensless on-chip fluorescent microscopy platform is demonstrated that can image fluorescent objects over an ultra-wide field-of-view of e.g., >0.6-8 cm2 with <4μm resolution using a compressive sampling based decoding algorithm. Such a compact and wide-field fluorescent on-chip imaging modality could be valuable for high-throughput cytometry, rare-cell research and microarray-analysis.
FAQs
Measured fluorescence can reflect both the labeled target and unwanted background or imaging-related variation. Correcting for background and maintaining controlled imaging conditions helps ensure that numerical differences more accurately represent changes in molecular abundance, localization, or activity. This is especially important when comparing cells, tissues, developmental stages, or experimental conditions, because inconsistent imaging can otherwise obscure biological differences.
Fluorescence intensity supplies a numerical measure related to the amount of labeled signal, whereas spatial distribution indicates where that signal occurs within cells or tissues. Examining both properties can distinguish an overall change in molecular abundance from a redistribution of the target. This distinction helps relate molecular patterns to cellular organization, differentiation, migration, and tissue formation.
Following fluorescence over time reveals how molecular signals or cellular patterns change during a developmental process rather than describing only one stage. Quantitative comparisons across time can identify changing expression, localization, or signaling dynamics and connect those changes with later cellular behavior. Such measurements help relate molecular activity to progression through embryogenesis and tissue formation.
A typical workflow labels the target with a fluorescent probe, acquires images under controlled conditions, and analyzes signal intensity, localization, or temporal change. The image data must then be interpreted after correcting for background and imaging variability. This sequence converts visual fluorescence patterns into numerical measurements that can be compared across samples, stages, or experimental conditions.
Researchers can apply it when they need to connect molecular measurements with developmental events. The approach can assess changes in protein abundance, gene expression, and signaling dynamics during embryogenesis or tissue formation, while also relating those measurements to differentiation, migration, and morphogenesis. Its value lies in comparing molecular and cellular changes across developmental stages or experimental conditions.
Numerical measurements allow fluorescence signals to be compared systematically across stages instead of relying only on visual impressions. After accounting for background and imaging variability, researchers can evaluate whether signal intensity, localization, or temporal behavior changes during development. These comparisons can clarify how molecular activity relates to transitions in cell behavior, tissue organization, and morphogenesis.