Dual-mode Imaging System
Dual-mode Imaging System - Related Videos
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.
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...
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.
08:32
Conducting Multiple Imaging Modes with One Fluorescence Microscope
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Cited by 8 •
2018
Here we present a practical guide of building an integrated microscopy system, which merges conventional epi-fluorescent imaging, single-molecule detection-based super-resolution imaging, and multi-color single-molecule detection, including single-molecule fluorescence resonance energy transfer imaging, into one set-up in a cost-efficient way.
FAQs
Spatial registration aligns images from the two modalities so that corresponding anatomical locations can be compared accurately. This step allows clinicians to relate a finding from one data source to structure shown by the other, rather than viewing each image independently. The resulting correspondence supports lesion localization, interpretation of biological activity, treatment planning, and image-guided intervention.
Different physical principles reveal different properties of tissue. One modality may emphasize anatomical structure, while another provides molecular or functional contrast. Combining these outputs broadens the information available for evaluating a lesion or disease process. The complementary relationship is important because structural appearance and biological activity may not be fully represented by either measurement alone.
Coordinated visualization presents the registered datasets in a way that helps users examine anatomy alongside molecular or functional information. Rather than treating the measurements as unrelated results, it supports direct interpretation of their spatial relationship. This integrated view can clarify where abnormal activity occurs and how it corresponds to surrounding tissue, assisting clinical assessment and planning.
A typical workflow begins by acquiring data through each of the two imaging modalities. The datasets are then spatially registered, meaning their corresponding locations are aligned, and subsequently integrated for coordinated visualization. This sequence converts separate measurements into a combined representation that can be examined for anatomical relationships, biological activity, lesion location, or intervention planning.
Its combined information can be useful when clinicians need to connect tissue anatomy with molecular or functional behavior. The system may support lesion localization, diagnosis, treatment planning, and image-guided intervention. By presenting these complementary findings together, it helps clinicians interpret biological activity in anatomical context, which can improve the information available for more precise care.
In translational research, these systems enable multimodal measurements to characterize disease from more than one perspective. Researchers can examine anatomical structure together with molecular or functional information, then use the integrated findings to support clinically relevant interpretation. This approach may help connect experimental observations with treatment planning and contribute to more personalized care.