Multispectral Sensor
Multispectral Sensor - Related Videos
08:40
Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging
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Cited by 17 •
2016
Immunohistochemistry is a powerful lab technique for evaluating protein localization and expression within tissues. Current semi-automated methods for quantitation introduce subjectivity and often create irreproducible results. Herein, we describe methods for multiplexed immunohistochemistry and objective quantitation of protein expression and co-localization using multispectral imaging.
06:37
Multispectral Real-time Fluorescence Imaging for Intraoperative Detection of the Sentinel Lymph Node in Gynecologic Oncology
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Cited by 41 •
2010
Fluorescence imaging is a promising innovative modality for image-guided surgery in surgical oncology. In this video we describe the technical procedure for detection of the sentinel lymph node using fluorescence imaging as showcased in gynecologic oncologicy. A multispectral fluorescence camera system, together with the fluorescent agent indocyanine green, is applied.
09:14
Glovebox and Impurity Sensors
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2023
Source: Tamara M. Powers, Department of Chemistry, Texas A&M University The glovebox provides a straightforward means to handle air- and moisture-sensitive solids and liquids. The glovebox is what it sounds like: a box with gloves attached to one or more sides, which allows the user to perform manipulations within the glovebox under an inert atmosphere. For manipulations under inert atmospheres, chemists can choose between Schlenk or high-vacuum techniques and a glovebox. Schlenk and...
11:39
Assessing Autophagic Flux by Measuring LC3, p62, and LAMP1 Co-localization Using Multispectral Imaging Flow Cytometry
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Cited by 94 •
2017
Here, multispectral imaging flow cytometry with an analytical feature that compares bright detail images of 3 autophagy markers and quantifies their co-localization, along with LC3 spot counting, was used to measure autophagy in an objective, quantitative, and statistically robust manner.
09:30
Bacterial Detection & Identification Using Electrochemical Sensors
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Cited by 6 •
2013
We describe an electrochemical sensor assay method for rapid bacterial detection and identification. The assay involves a sensor array functionalized with DNA oligonucleotide capture probes for ribosomal RNA (rRNA) species-specific sequences. Sandwich hybridization of target rRNA with the capture probe and a horseradish peroxidase-linked DNA oligonucleotide detector probe produces a measurable amperometric current.
FAQs
Different materials can produce distinct spectral signatures across the measured bands, even when they appear similar in an ordinary color image. Comparing band-specific intensities therefore provides additional evidence for separating vegetation, soil, water, and other land-cover types. This expanded information supports more detailed environmental assessment and improves the ability to identify conditions or changes affecting ecosystems.
Optical filters or band-specific detectors separate incoming reflected or emitted energy into discrete wavelength ranges. The sensor then records the intensity associated with each range rather than combining all incoming energy into one image value. These separated measurements create the spectral information needed to compare materials and recognize differences in their environmental properties.
Reflected energy and emitted energy provide different forms of information about environmental surfaces and conditions. Recording either type across several wavelength bands allows the sensor to capture band-specific intensity patterns that can distinguish materials by their spectral signatures. This capability broadens the usefulness of multispectral measurements for examining vegetation, land cover, soil, water, and environmental impacts.
A typical interpretation process compares the recorded intensity values across wavelength bands and uses their spectral patterns to distinguish materials or conditions. Those distinctions can then support vegetation assessment, land-cover mapping, and evaluation of soil or water conditions. The resulting measurements provide a basis for environmental monitoring rather than relying only on visual appearance in a conventional image.
Multispectral sensing supports monitoring of vegetation health, mapping of land cover, and assessment of soil and water conditions. It can also contribute to detecting environmental change or pollution. These outputs are relevant to ecosystem management, precision agriculture, and climate studies because they provide several wavelength-specific measurements for examining environmental conditions.
These sensors can be mounted on satellites, aircraft, drones, or ground platforms, allowing environmental measurements from different operational settings. The selected platform can support observation of vegetation, land cover, soil, water, or changing environmental conditions. Such deployments help provide information for ecosystem management and timely responses to natural or human-driven impacts.