What is hyperspectral imaging?

Principles of hyperspectral imaging

Hyperspectral imaging is a powerful sensing and detection technology for performing non-invasive material analysis. Where a mass spectrometer directly counts atoms, hyperspectral imaging, also known as imaging spectroscopy, can predict the content of materials based on the interaction of light with the molecules.


A vision system beyond

The photon is the basic unit of all light. They are the medium of communication between objects and vision systems. Objects or any physical matter absorb and reflect light across the electromagnetic spectrum.

Human Vision

The human eye sees the results of the combination of different colours.

Light as Photons

Actual light waves are made up of photons.

Spectral Vision

Hyperspectral cameras can capture individual photons.

The human eye forms an optical image of an object and converts it into electrical signals for subsequent transmission to the brain. But it can interpret only the colour or RGB slice of this spectrum. In other words, there is information travelling from objects of analysis (or analyte) that are beyond the capabilities of the human vision system.

Hyperspectral can see beyond. This technology allows creating a perfect machine vision. Moreover, HS imaging significantly expands the boundaries of “visibility” with piercing spectroscopy, we can see the visible (VIS) but also in the ultraviolet (UV), near-infrared (NIR) and short-wave infrared (SWIR) regions of the spectrum.

For example, our Opsyne VNIR-1920 camera captures image within the UV-VIS-NIR range with a resolution of 0.8 nm. And the SWIR-1700 camera records an 800 nm wide SWIR band with a 2.0 nm resolution.


How hyperspectral works

Different materials, molecules or analyte reflect and absorb light differently. Hyperspectral imaging exploits this fact.

Light, emitted as photons, is either absorbed or reflected. Some incident photons are absorbed by the sample’s body, while the rest are reflected and directed to an HS camera. The HS camera detects the light or photons.

Simultaneously, for each pixel of the linear image, the reflection spectrum is recorded. A complete spectral picture of the object’s surface is obtained by combining all obtained data.

High-quality HS cameras generate a massive stream of raw data, which must be transferred to a computer, stored and processed. Big data analysis requires advanced treatment methods, including deep-learning algorithms.


Find the details

Selectivity (specificity) of an analytical method is the ability to measure accurately and specifically the analyte of interest in the presence of other components that may be contained in the sample.

Specificity refers to methods that produce a response for a single analyte, whereas selectivity refers to methods that produce responses for many chemical entities.

In HS imaging, analytes are revealed with their spectral properties, so spectral resolution determines the selectivity of this technique.

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Our spectral imaging technology is rapid, automated, and non-invasive. Backed by in-house R&D, we work with you to understand your workflow, optimize for your application, and deliver a complete system package to match your desired user experience.

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