Dual Imaging System
Dual Imaging System - 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.
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...
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.
10:56
Dual Bioluminescence Imaging of Tumor Progression and Angiogenesis
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Cited by 13 •
2019
This protocol describes the establishment of a tumor-bearing mouse model to monitor tumor progression and angiogenesis in real-time by dual bioluminescence imaging.
10:30
Simultaneously Capturing Real-time Images in Two Emission Channels Using a Dual Camera Emission Splitting System: Applications to Cell Adhesion
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Cited by 4 •
2013
Dual camera emission splitting systems for two-color fluorescence microscopy generate real-time image sequences with exceptional optical and temporal resolution, a requirement of certain live cell assays including parallel plate flow chamber adhesion assays. When software is employed to merge images from simultaneously acquired emission channels, pseudocolored image sequences are produced.
FAQs
Spatial co-registration aligns the images produced by the two imaging channels so that corresponding locations in a sample can be compared. This alignment allows a structural feature to be examined alongside a functional, molecular, or material-specific signal rather than treating each image independently. In bioengineering, that relationship supports more informative interpretation of complex tissues, biomaterials, and devices.
The two channels should contribute different but relevant information about the same sample. One may emphasize structure, while the other reports functional, molecular, or material-specific characteristics. Selecting complementary signals helps reveal features that a single measurement could miss and allows researchers to relate physical organization to biological or engineered behavior within one analysis.
A Dual Imaging System may collect its channels one after another or at the same time. Both acquisition strategies support comparison of complementary measurements, provided the resulting images can be spatially aligned. This choice is therefore part of how the system is configured for a particular sample and determines how the available structural, functional, molecular, or material-specific information is assembled.
Once the channels are co-registered, measurements from corresponding regions can be considered together. Researchers can compare the distribution of one signal with another across an engineered tissue, biomaterial, cellular sample, or device. The combined dataset provides a basis for quantitative characterization that preserves relationships between image features instead of evaluating each modality in isolation.
A typical workflow selects two complementary imaging modalities or signal channels, acquires the images sequentially or simultaneously, and spatially co-registers the resulting datasets. Researchers then compare the aligned structural, functional, molecular, or material-specific information and apply quantitative analysis where appropriate. This sequence connects image acquisition with interpretation of the sample’s engineered or biological features.
The approach is useful when a sample contains several features that cannot be adequately characterized through one signal alone. In engineered tissues and biomaterials, paired imaging can relate structure to functional or material-specific information. It can also support examination of cellular behavior and device performance, helping researchers characterize complex environments more comprehensively.
By linking complementary measurements, dual imaging systems provide a broader view of biological and engineered environments. That integrated information can support the development of more informative tools for diagnosis and monitoring, while also contributing to therapeutic design. In bioengineering, the same principle connects measurable sample features with decisions about engineered systems and interventions.