Fitc Dapi Filters
Fitc Dapi Filters - Related Videos
01:58
Studying the Permeation of FITC and FITC-Ferritin through an In Vitro Blood-Brain Barrier Model
0 Views •
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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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.
03:32
Ethanol Fixation and DAPI Staining: A Method to Visualize DNA in C. elegans
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Here, we describe a technique used to visualize genomic DNA in fixed, intact nematodes. The video includes an example protocol to count chromatin in unfertilized C. elegans oocytes.
01:27
Passive Filters
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2024
Passive filters are utilized to shape the frequency spectrum of signals across a diverse array of applications. These filters, using only passive elements like resistors (R), inductors (L), and capacitors (C), are capable of selectively allowing or blocking certain frequency ranges without the need for external power sources. Low-Pass Filters Low-pass filters are designed to transmit signals with frequencies lower than the cutoff frequency, ωc, and attenuate those above it. The cutoff frequency...
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.
FAQs
Spectral matching aligns the filter passbands with the fluorophore’s excitation and emission behavior. For FITC, transmission around its green emission near 520 nanometers supports detection of the intended signal; for DAPI, ultraviolet excitation and blue emission near 460 nanometers guide the corresponding selection. This alignment improves contrast and limits background light.
The excitation bandpass filter shapes the light directed toward the sample, while the dichroic mirror and emission filter help separate that illumination from fluorescence returning to the detector. Using the three elements as a matched set allows the microscope to favor the selected FITC or DAPI signal rather than treating all wavelengths equally.
Bleed-through occurs when unwanted fluorescence or background light is admitted into a detection channel, making signals harder to distinguish. With FITC and DAPI labels, selecting passbands that correspond to their different emission regions helps favor green or blue signal appropriately. The practical benefit is clearer separation of molecular labels in the same specimen.
Selection should begin with the label being measured and its required excitation and emission regions. A FITC set is appropriate when the target signal is fluorescein-based and green fluorescence near 520 nanometers is the detection feature; a DAPI set suits ultraviolet-excited nuclear staining with blue emission near 460 nanometers. Matching this behavior supports reliable signal discrimination.
In immunofluorescence, filter choice links the optical readout to the fluorescent label used for the biological target. FITC-based detection can help localize labeled proteins, whereas DAPI-based staining highlights nuclei. Using the corresponding sets lets researchers compare molecular localization with nuclear position in cells or tissues, provided the signals remain spectrally distinguished.
These filter sets can support nuclear staining, cell counting, and localization of proteins or nucleic acids. The resulting images can reveal whether a signal occupies particular cellular or tissue regions and can support quantification of spatial patterns. Thus, the filters contribute to both qualitative imaging and structured biological measurement.