Multichannel Imaging
Multichannel Imaging - Related Videos
01:16
Multichannel Distribution
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2024
A multichannel distribution system is a strategy where a company uses several methods to reach its customers. It may include selling products through physical stores, online platforms, direct mail, and third-party distributors. The importance of a multichannel distribution system lies in its ability to increase market coverage and customer convenience: Reach More Customers: With multiple channels, businesses can reach different segments of their target market that they might not access via a...
08:59
Multichannel Extracellular Recording in Freely Moving Mice
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Cited by 1 •
2023
The protocol describes the methodology of extracellular recording in the motor cortex (MC) to reveal extracellular electrophysiological properties in freely moving conscious mice, as well as the data analysis of local field potentials (LFPs) and spikes, which is useful for evaluating the network neural activity underlying behaviors of interest.
08:35
Electrotaxis Studies of Lung Cancer Cells using a Multichannel Dual-electric-field Microfluidic Chip
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Cited by 12 •
2015
Many microfluidic devices have been developed for use in the study of electrotaxis. Yet, none of these chips allows the efficient study of the simultaneous chemical and electric-field (EF) effects on cells. We developed a polymethylmethacrylate-based device that offers better-controlled coexisting EF and chemical stimulation for use in electrotaxis research.
09:43
In vivo Near Infrared Fluorescence (NIRF) Intravascular Molecular Imaging of Inflammatory Plaque, a Multimodal Approach to Imaging of Atherosclerosis
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Cited by 32 •
2011
We detail a new near-infrared fluorescence (NIRF) catheter for 2-dimensional intravascular molecular imaging of plaque biology in vivo. The NIRF catheter can visualize key biological processes such as inflammation by reporting on the presence of plaque-avid activatable and targeted NIR fluorochromes. The catheter utilizes clinical engineering and power requirements and is targeted for application in human coronary arteries. The following research study describes a multimodal imaging strategy...
13:45
Hybrid µCT-FMT imaging and image analysis
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Cited by 34 •
2015
We describe a protocol for hybrid imaging, combining fluorescence-mediated tomography (FMT) with micro computed tomography (µCT). After fusion and reconstruction, we perform interactive organ segmentation to extract quantitative measurements of the fluorescence distribution.
FAQs
Signal separation begins with assigning each fluorescent label or optical readout a defined excitation or detection condition. Filters and detectors then isolate the corresponding signals, while computational unmixing can further separate contributions in the recorded data. This controlled separation makes it possible to attribute observed patterns to the appropriate structure, molecule, or behavior.
Registration is essential because channels may not initially align perfectly in space or across time. The process places corresponding image features into a common coordinate system, allowing a signal associated with one molecule or cell population to be compared with another at the same location or developmental stage. Without that alignment, apparent relationships could be misinterpreted.
Multichannel imaging becomes especially informative when developmental behavior must be linked to molecular state. One channel can report a structure or cell population while another records gene expression or signaling activity, and additional imaging can follow migration, division, or specialization. Their coordinated analysis connects cellular events with tissue morphogenesis rather than treating them as isolated observations.
A practical workflow starts by selecting fluorescent labels or optical modalities that represent the structures, molecules, or behaviors of interest. The specimen is then imaged under defined excitation or detection conditions. Signals are separated through filters, detectors, or computational unmixing, followed by registration so channels can be compared spatially and temporally.
Live imaging adds temporal information to the channel-based comparison. It allows researchers to follow cell populations as they migrate, divide, and specialize while relating those behaviors to gene expression or signaling activity. In developmental biology, this supports analysis of how dynamic cellular interactions contribute to tissue formation and changing morphology.
Quantitative analysis can convert aligned multichannel observations into comparisons among signals, cell behaviors, and tissue changes. In developmental studies, this helps relate gene expression patterns or signaling activity to migration, division, specialization, and morphogenesis. The resulting measurements can clarify developmental dynamics that are difficult to interpret when each channel is considered separately.