Abstract
Rather than simply acting as a photographic camera capturing two-dimensional (x, y) intensity images or a spectrometer acquiring spectra (λ), a hyperspectral imager measures entire three-dimensional (x, y, λ) datacubes for multivariate analysis, providing structural, molecular, and functional information about biological cells or tissue with unprecedented detail. Such data also gives clinical insights for disease diagnosis and treatment. We summarize the principles underpinning this technology, highlight its practical implementation, and discuss its recent applications at microscopic to macroscopic scales. (Image presented) Datacube acquisition strategies in hyperspectral imaging x, y, spatial coordinates; λ, wavelength.
Original language | English (US) |
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Pages (from-to) | 441-456 |
Number of pages | 16 |
Journal | Journal of Biophotonics |
Volume | 8 |
Issue number | 6 |
DOIs | |
State | Published - Jun 1 2015 |
Externally published | Yes |
Keywords
- Biomedical imaging
- Hyperspectral imaging
- Multispectral imaging
ASJC Scopus subject areas
- General Chemistry
- General Materials Science
- General Biochemistry, Genetics and Molecular Biology
- General Engineering
- General Physics and Astronomy