Multispectral Imaging
Multispectral Imaging - 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.
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.
06:40
Multispectral Optoacoustic Tomography for Functional Imaging in Vascular Research
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Cited by 4 •
2022
The present protocol describes the acquisition of multispectral optoacoustic images of in vivo human skin vasculature. These include the quantification of hemoglobin and melanin, regarded as chromophores of interest for functional analysis.
07:06
Simultaneous Evaluation of Cerebral Hemodynamics and Light Scattering Properties of the In Vivo Rat Brain Using Multispectral Diffuse Reflectance Imaging
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Cited by 1 •
2017
The simultaneous evaluation of cerebral hemodynamics and the light scattering properties of in vivo rat brain tissue is demonstrated using a conventional multispectral diffuse reflectance imaging system.
FAQs
The method compares measurements collected at selected wavelength bands rather than relying only on overall brightness or visible color. Different tissues, pigments, materials, or physiological states can produce distinct spectral signatures, meaning characteristic patterns across those bands. Mapping these patterns back to image locations allows researchers to associate spectral differences with spatially localized tissue features or changes.
These acquisition modes provide different ways to measure how an object or tissue interacts with light. Reflected light records what returns from a surface, transmitted light measures what passes through it, and emitted light captures radiation produced by the subject. Selecting among them helps align the measurements with the material, tissue property, or physiological change under investigation.
Ordinary color images summarize visual information into a limited set of broad color channels. Multispectral imaging samples several distinct wavelength ranges, so subtle differences in how tissues or materials respond across the spectrum can remain visible even when their overall color appears similar. Combining these measurements adds spectral discrimination to the spatial detail already present in an image.
The selected bands determine which spectral differences the system can measure and compare. Bands that capture contrasting responses among tissues, pigments, or physiological states can improve separation of those features, whereas unsuitable selections may provide less useful distinction. Consequently, band selection must match the material or medical change being studied and the spectral signatures expected in the measurements.
A typical workflow begins by selecting wavelength bands and an appropriate light-measurement mode for the tissue or question being studied. The system then records measurements across those bands, preserves their spatial location, and combines the data into multispectral images. Researchers interpret differences in the resulting spectral patterns to assess tissue properties, physiological changes, or disease-related findings.
Medical researchers can apply the technique when spatially localized spectral information may add value beyond visual inspection. Supported uses include noninvasive assessment of tissue oxygenation, blood flow, wound status, and disease-related changes. It can also contribute to clinical research, diagnosis, treatment monitoring, and image-guided care by showing measurable patterns across tissue regions.