Fitc Distribution
Fitc Distribution - Related Videos
01:58
Studying the Permeation of FITC and FITC-Ferritin through an In Vitro Blood-Brain Barrier Model
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2025
This video demonstrates a method to study permeation through an in vitro blood-brain barrier (BBB) model using astrocytes and endothelial cells on a membrane insert, with free FITC and FITC-loaded ferritin. FITC-ferritin bound to receptors on endothelial cells and crossed the membrane barrier to the lower chamber while free FITC showed restricted permeation and remained in the upper chamber.
02:56
FITC-Dextran Feeding: A Method to Quantify Intestinal Permeability in C. elegans
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2023
This video introduces a method of to visualize and measure the integrity of the C. elegans intestine lumen by feeding worms FITC-labeled dextran. The example protocol shows the assay done with 3,3’-diindolylmethane (DIM)-treated and pathogen-fed worms.
11:13
In Vitro Permeation of FITC-loaded Ferritins Across a Rat Blood-brain Barrier: a Model to Study the Delivery of Nanoformulated Molecules
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Cited by 15 •
2016
A method to establish an in vitro model of blood-brain barrier based on a co-culture of rat brain microvascular endothelial cells and astrocytes is described and validated. This system proved to be a valid tool to study the effect of nanoformulation on the trans-barrier permeation of fluorescent molecules.
04:50
Imaging FITC-dextran as a Reporter for Regulated Exocytosis
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Cited by 10 •
2018
Here we detail a method for live cell imaging of regulated exocytosis. This method utilizes FITC-dextran, which accumulates in lysosome-related organelles, as a reporter. This simple method also allows distinguishing between different modes of regulated exocytosis in cells that are difficult to manipulate genetically.
01:19
F Distribution
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2023
The F distribution was named after Sir Ronald Fisher, an English statistician. The F statistic is a ratio (a fraction) with two sets of degrees of freedom; one for the numerator and one for the denominator. The F distribution is derived from the Student's t distribution. The values of the F distribution are squares of the corresponding values of the t distribution. One-Way ANOVA expands the t test for comparing more than two groups. The scope of that derivation is beyond the level of this...
FAQs
FITC distribution depends on which amino groups are accessible during labeling and on the location of the labeled protein or antibody afterward. The covalent reaction attaches the fluorophore to available groups, so steric access and molecular context can influence the resulting signal. This matters because an observed pattern may reflect both target distribution and labeling efficiency.
Changes in intensity and localization should be read together rather than separately. Intensity contributes quantitative information, while position shows which cellular, tissue, or biological compartment contains the signal. A stronger or weaker pattern can therefore be evaluated alongside its spatial distribution to assess cellular interactions, tissue penetration, or changes associated with infection, provided background fluorescence is considered.
Fluorescence microscopy preserves spatial detail, making it suited to examining where FITC signal appears within cells or tissues. Flow cytometry instead supports measurement across immune-cell populations, allowing fluorescence-associated patterns to be assessed among cells. Choosing between them depends on whether the main question concerns localization in a specimen or distribution across a measured cell population.
An effective workflow begins by selecting the protein or antibody to be labeled, allowing FITC to react with accessible amino groups, and then examining the labeled material by fluorescence microscopy or flow cytometry. Appropriate controls are essential during interpretation because they help separate specific labeling from background fluorescence and make spatial or population-level comparisons more meaningful.
In immunology, these measurements can map antigen distribution and follow immune-cell populations in relation to one another. Localization patterns may indicate where labeled targets or cells occur, while quantitative fluorescence can support comparisons among populations or compartments. This makes FITC distribution useful for examining cellular interactions without treating signal alone as proof of a specific biological mechanism.
In infection research, FITC distribution can reveal pathogen-associated structures or uptake and help track how signal changes across cells, tissues, or compartments. Examining localization alongside intensity may provide evidence about tissue penetration and infection-associated changes. Controls remain important here, since background fluorescence could otherwise be mistaken for a pathogen-related or uptake-related signal.