What is hyperspectral imaging microscopy?

In hyperspectral imaging, a stack of wavelength-separated, two-dimensional images is acquired. This technique is frequently used in microscopy, biomedical imaging, and machine vision, as it allows quick sample identification and analysis.

How does hyperspectral imaging work?

Hyperspectral imaging (HSI) is a technique that analyzes a wide spectrum of light instead of just assigning primary colors (red, green, blue) to each pixel. The light striking each pixel is broken down into many different spectral bands in order to provide more information on what is imaged.

What is infrared hyperspectral imaging?

Overview. Hyperspectral imaging is a chemical imaging technique based on reflectance spectroscopy (the light reflected by materials). This device makes the collection of reflectance spectra in each point of the field of view for the Near Infrared range (it is complementary to another device for the visible range).

What is a hyperspectral instrument?

A typical hyperspectral system consists of a light source, a wavelength dispersion device, and an area detector. It is capable of acquiring both spatial and spectral information from the sample in a form of spatially organized spectroscopy.

What are the characteristics of hyperspectral image?

Hyperspectral image is a 3D data cube, which contains two-dimensional spatial information (image feature) and one-dimensional spectral information (spectral-bands).

What is hyperspectral data used for?

n-Dimensional Data The distribution of the hyperspectral data in n-space can be used to estimate the number of spectral endmembers and their pure spectral signatures and to help understand the spectral characteristics of the materials which make up that signature.

What is a limitation of hyperspectral images?

The primary disadvantages are cost and complexity. Fast computers, sensitive detectors, and large data storage capacities are needed for analyzing hyperspectral data.

What are the advantages of hyperspectral imaging?

Hyperspectral sensors pose an advantage over multispectral sensors in their ability to identify and quantify molecular absorption. The high spectral resolution of a hyperspectral imager allows for detection, identification and quantification of surface materials, as well as inferring biological and chemical processes.

What is the hyperspectral range?

500 to 700 nm
Hyperspectral deals with imaging narrow spectral bands over a continuous spectral range, producing the spectra of all pixels in the scene. A sensor with only 20 bands can also be hyperspectral when it covers the range from 500 to 700 nm with 20 bands each 10 nm wide.

What is hyperspectral image classification?

Hyperspectral image classification is the task of classifying a class label to every pixel in an image that was captured using (hyper)spectral sensors. ( Image credit: Shorten Spatial-spectral RNN with Parallel-GRU for Hyperspectral Image Classification )

Why is hyperspectral imaging important?

Environmental Monitoring: Hyperspectral imaging is becoming widely popular for tracking changes in the environment. It is commonly used to understand surface CO2 emissions, map hydrological formations, tracking pollution levels, and more.