Page 7: Research news on multispectral imaging

Multispectral imaging is an optical acquisition method that records scene radiance or reflectance in multiple discrete spectral bands, typically spanning the visible, near-infrared, and sometimes shortwave infrared regions. Using bandpass filters, tunable filters, or sensor arrays with spectrally selective elements, it generates co-registered images where each band captures wavelength-dependent material properties. Quantitative analysis of these bands enables spectral feature extraction, classification, and segmentation based on differences in absorption, scattering, or fluorescence. In research, multispectral imaging is applied to non-destructive assessment, tissue characterization, remote sensing, and cultural heritage analysis, often serving as a lower-complexity, higher-throughput alternative to full hyperspectral imaging.

Organic infrared photodetectors offer advance in imaging technology

The demand for high pixel-count, low-cost focal-plane arrays in the near-infrared (NIR) and short-wavelength infrared (SWIR) spectra has surged due to their potential applications in AI-driven technologies such as 3D face-identification, ...

Upside-down design expands wide-spectrum super-camera abilities

By turning a traditional lab-based fabrication process upside down, researchers at Duke University have greatly expanded the abilities of light-manipulating metasurfaces while also making them much more robust against the ...

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