2015
DOI: 10.1088/0957-0233/26/2/025701
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Multimodal confocal hyperspectral imaging microscopy with wavelength sweeping source

Abstract: There exist microscopes that are able to obtain the chemical properties of a sample, because there are some cases in which it is difficult to find out causality of a phenomenon by using only the structural information of a sample. Obtaining the chemical properties of a sample is important in biomedical imaging, because most biological phenomena include changes in the chemical properties of the sample. Hyperspectral imaging (HSI) is one of the popular imaging methods for characterizing materials and biological … Show more

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Cited by 5 publications
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“…Hyperspectral imaging (HSI) is an imaging modality involving the use of hundreds of optical wavelengths that has been generating a lot of research in recent years, specifically regarding its application to remote sensing, and geospatial imaging [14,60,63]. Currently, researchers are looking at HSI's applications in the medical field as a tool for non-invasive disease diagnosis and surgical guidance [21,35,40,50]. HSI is a hybrid modality, combining imaging with spectroscopy by collecting spectral information at each pixel of an array while scanning through different wavelengths to generate a threedimensional hypercube of spatial and spectral data [40].…”
Section: Hyperspectral Diffuse Optical Tomography Modelmentioning
confidence: 99%
“…Hyperspectral imaging (HSI) is an imaging modality involving the use of hundreds of optical wavelengths that has been generating a lot of research in recent years, specifically regarding its application to remote sensing, and geospatial imaging [14,60,63]. Currently, researchers are looking at HSI's applications in the medical field as a tool for non-invasive disease diagnosis and surgical guidance [21,35,40,50]. HSI is a hybrid modality, combining imaging with spectroscopy by collecting spectral information at each pixel of an array while scanning through different wavelengths to generate a threedimensional hypercube of spatial and spectral data [40].…”
Section: Hyperspectral Diffuse Optical Tomography Modelmentioning
confidence: 99%