What is Hyperspectral Imaging?
Hyperspectral imaging (HSI) combines standard digital imaging with common spectroscopic methods, such as Near-IR, Visible and Fluorescence imaging, to provide increased sensitivity and discrimination capabilities over traditional imaging and detection methods. HSI will not compromise the integrity of your samples, allowing for the possibility of further sample testing, if necessary.
Hyperspectral Imaging vs. Multispectral Imaging
HSI uses reflected, transmitted, or emitted light from each point in the sample image to create a spectral-based contrast within the image. Images are aquired at multiple wavelengths via a liquid-crystal tunable filter (LCTF) and tied together as a hypercube dataset.
Spectral data, or the intensity at each wavelength, is contained in each pixel of the hyperspectral image. Because this information is inherent to the data, powerful spectral processing tools found in the ChemImage analysis software can be utlized to identify subtle spetral differences.
The figures below illustrate how ChemImage's HSI technology provides increased discrimination over multispectral-based instruments.
| |
Hyperspectral Imaging |
Multispectral Imaging |
| Images per dataset |
More than 20 |
2-20 |
| Spectral Info |
Full spectrum per pixel |
4 to 20 data points per pixel |
| Spectral width per image |
10 nm per image |
30 nm per image |
| Processing Methods |
spectral and image |
Limited image |
| Result |
Highest discrimination |
Moderate discrimination |