Dual-labeling Approach
Dual-labeling Approach - Related Videos
10:40
Visualizing Lignification Dynamics in Plants with Click Chemistry: Dual Labeling is BLISS!
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Cited by 8 •
2018
BLISS, a dual labeling protocol for studying lignification dynamics, was developed. Using synthetic monolignol reporters and a sequential combination of SPAAC and CuAAC bioorthogonal click reactions, this methodology paves the way to in-depth analysis of the factors that regulate the biogenesis of lignins in planta.
10:39
A Label-Free Segmentation Approach for Intravital Imaging of Mammary Tumor Microenvironment
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Cited by 11 •
2022
The intravital imaging method described here utilizes collagen second harmonic generation and endogenous fluorescence from the metabolic co-factor NAD(P)H to non-invasively segment an unlabeled tumor microenvironment into tumor, stromal, and vascular compartments for in-depth analysis of 4D intravital images.
11:44
Establishment of a Rat Model for Intrauterine Adhesions via Dual Injury: Curettage and Infection
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Cited by 1 •
2025
Intrauterine adhesions (IUAs), the most common pathological consequence of endometrial injury, severely impair reproductive function. Trauma and infection are widely recognized as key risk factors for IUA development. We have successfully established a reproducible rat model of IUAs by combining two critical injury methods: mechanical curettage and infectious induction with lipopolysaccharide.
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.
09:19
Simultaneous Label-Free Autofluorescence Multi-Harmonic Microscopy
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Cited by 3 •
2025
This protocol presents a step-by-step guide for the Simultaneous Label-free Autofluorescence Multi-harmonic (SLAM) microscopic technique, including details on how to generate the laser light source, prepare a tissue sample, conduct imaging, and analyze the data. SLAM advances nonlinear microscopy by measuring four complementary label-free contrasts to investigate the tissue microenvironment.
FAQs
Using separate signals allows researchers to examine two targets within the same biological sample rather than observing one target in isolation. The resulting spatial comparison can show whether an immune marker and a pathogen occupy the same region, or whether two cellular components have related distributions. This added relationship information helps resolve interactions that single-label observations cannot show.
The signals must remain separately recognizable so each can be assigned to its intended biological target. Distinguishable fluorescent or other detection signals let investigators compare the locations of the two targets without treating them as one measurement. This separation is central to interpreting co-localization, cellular infection, and the organization of host and microbial components in a complex sample.
Comparing the distributions of the two signals can indicate whether a pathogen is located with particular immune markers or cellular components. In infection studies, these spatial relationships help examine cellular infection, pathogen tropism, and interactions between microbial agents and host defenses. The approach therefore adds positional context to target detection rather than reporting only whether each target is present.
Researchers select target-specific antibodies or probes according to the biological relationship they want to examine. One label may identify an immune marker while the other identifies a pathogen, or the pair may distinguish two cellular components. Assigning each target a different signal enables simultaneous visualization and supports direct comparison within the same biological sample.
It is useful when the research question depends on relating immune-cell features to microbial presence or to another cellular component. Simultaneous visualization can help examine where immune markers occur relative to pathogens, providing context for immune-cell responses and host defense interactions. The same strategy also supports analysis of tissue organization in samples containing multiple biological structures.
In this field, the approach supports investigations of pathogen tropism, cellular infection, tissue organization, and mechanisms of infection. It can also help characterize how host defenses are positioned relative to microbial agents and how immune markers relate to other cellular components. These applications make the method valuable for interpreting complex samples in which biological relationships are spatially important.