Dual Color Imaging
Dual Color Imaging - Related Videos
07:33
In vivo Dual Substrate Bioluminescent Imaging
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Cited by 20 •
2011
Herein we describe the methods to construct, visualize, and quantify the bioluminescent reactions of both firefly and renilla luciferase enzymes expressed in metastatic breast cancer cells during their growth and metastasis in vivo.
10:00
Visualization of the Immunological Synapse by Dual Color Time-gated Stimulated Emission Depletion (STED) Nanoscopy
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Cited by 12 •
2014
Here we illustrate the protocol for imaging by two-color STED nanoscopy the cytotoxic immune synapse of NK cells recapitulated on glass. Using this method we obtain sub-100 nm resolution of synapse proteins and the cytoskeleton.
11:35
Dual-mode Imaging of Cutaneous Tissue Oxygenation and Vascular Function
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Cited by 16 •
2010
A dual-mode imaging system was developed for non-contact assessment of cutaneous tissue oxygenation and vascular function.
03:16
Dual Fluorescence Imaging to Identify Differentiated Oligodendrocytes
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2025
Source: Schott, J. T., et al. Preparation of Rat Oligodendrocyte Progenitor Cultures and Quantification of Oligodendrogenesis Using Dual-infrared Fluorescence Scanning. J. Vis. Exp. (2016). This video demonstrates the use of dual fluorescence imaging to evaluate the differentiation of oligodendrocytes from precursor cells (OPCs) isolated from a rat pup brain. The process includes fixing the cells, labeling specific markers with primary and fluorophore-conjugated secondary antibodies, and...
09:20
Color Afterimages
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2023
Source: Laboratory of Jonathan Flombaum—Johns Hopkins University Human color vision is impressive. People with normal color vision can tell apart millions of individual hues. Most amazingly, this ability is achieved with fairly simple hardware. Part of the power of human color vision comes from a clever bit of engineering in the human brain. There, color perception relies on what is known as an 'opponent system.' This means that the presence of one kind of stimulus is treated as evidence for...
FAQs
Channel separation depends on the spectral distinction between the two fluorophores and on assigning each signal to an appropriate optical filter or detector channel. Greater distinction helps preserve the identity of each label during acquisition, whereas poor separation can complicate comparisons. This channel-specific organization allows two biological signals to be examined within one specimen.
Each label provides a separate biological readout that can be interpreted alongside the other channel. One may identify a neuronal structure, while the other marks a different cell population, molecule, or biological event. Their combined pattern helps investigators determine whether signals occupy related locations or change together within the same neural specimen.
The two channels can be recorded at the same time or captured one after the other. Simultaneous acquisition places both signals within a shared acquisition window, while sequential acquisition separates their collection in time. The choice affects how researchers examine relationships between signals, particularly when timing between neuronal activity, structures, or supporting-cell responses is important.
Channel comparison adds relational information that a single signal cannot provide. Researchers can assess where neuronal structures, activity indicators, and supporting cells appear relative to one another, and can examine whether biological changes occur in a coordinated pattern. These comparisons support investigations of circuit organization and cellular interactions in neural tissue.
A basic workflow assigns distinct labels to the biological features of interest, selects optical filters or detector channels that distinguish their emission spectra, and acquires the signals either simultaneously or sequentially. Researchers then compare the resulting channels within the same specimen. This workflow links label identity to spatial or temporal observations across the sample.
Dual Color Imaging can be used with either living or fixed neural tissue, depending on the biological question and specimen preparation. In living tissue, channel relationships can be examined during ongoing biological changes, whereas fixed tissue supports analysis of preserved spatial organization. Both contexts allow researchers to compare neural features within one specimen.
In neuroscience, the method can connect signals from neuronal structures, activity indicators, and supporting cells within the same sample. Researchers can use these relationships to study circuit organization, interactions between cellular populations, and coordinated biological changes. The resulting two-channel observations provide spatial and, when acquisition is time-resolved, timing information about neural processes.