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Chemical colour imaging is the analytical capacity to provide a visual representation of the distribution of components using simultaneous spectra and spatial and temporal data measurements. In contrast to multispectral imaging, which measures spaced spectral bands, hyperspectral imaging measures contiguous spectral bands.
The key concept is that for chemical imaging, the analyst may decide to use as many data spectrum measurements at one time that were taken at a certain chemical component in a specific spatial position; this is helpful for chemical identification and quantification.
Instead, picking an image plane at a particular data spectrum can map the spatial distribution of sample components, provided that their spectral signatures are distinct at the specified data spectrum. Chemical approaches like chemometrics are distinguished from software for chemical imaging because it is more specific.
A radiation source to illuminate the sample, a spectrally selective element, and typically a detector array are the three parts of an imaging equipment. A hypercube is the name of the data structure. The data set can be seen as a data cube, a three-dimensional block of information spanning two spatial dimensions with a third axis made up of a number of wavelengths.
Visually and analytically, the hypercube can be viewed as a collection of spectrally resolved images or a collection of spatially resolved spectra.
The Global Chemical Colour Imaging market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.
Panasonic Holdings Company stated that it had applied compressed sensing technology, which has been used in space exploration and medical care, to create the hyperspectral imaging technology with the highest sensitivity in the world.
This technique enhances the accuracy of picture processing and recognition while enabling the identification of minute colour differences small differences that are difficult to see with the unaided eye. It also maintains the usability of a typical colour camera.
Using compressed sensing, the recently created hyperspectral imaging technique effectively captures observation data by “thinning out” and rebuilding data to return data to what it was before thinning out through picture post-processing. In addition to black hole observations, MRI tests in the medical field also include compressed sensing technologies.
An image sensor is equipped with a specific filter that transmits light at several wavelengths to adequately thin down the data, and a specially tuned digital image processing algorithm performs the image reconstruction.
Panasonic Holdings has solved the core problem of conventional technology the trade-off between the number of wavelengths and sensitivity by delegating a portion of the colour-separation tasks to software. This method has made it possible to record hyperspectral video and photos with the maximum sensitivity possible indoors.
