A spectrum is the impression or pattern formed on a screen when electromagnetic radiation of particular wavelengths is analyzed and dispersed using a prism or diffraction grating. In simple words, a series of coloured bands (wavelengths) produced when light is separated into its constituent wavelengths is called spectrum.
For example, when a white light is incident on a prism, a spectrum of different colours from red to violet is observed. Similarly, the hydrogen spectrum includes distinct series, such as the Lyman series, Balmer series, Paschen series, Brackett series, etc. each corresponding to specific transitions of electrons in a hydrogen atom.
According to the interaction forms of light and matter, spectra can generally be divided into absorption spectra, emission spectra, and scattering spectra, among others.
Spectroscopic analysis and detection technology is a new type of non-destructive in situ detection technology that can detect the relative content and distribution of substances such as water, amino acids, proteins, and lipids in skin tissue, thereby enabling real-time monitoring of skin health status.
Imaging spectroscopy detection technology not only enables non-invasive, rapid, and sensitive detection of skin tissue but also features high resolution and imaging capabilities.
Hyperspectral imaging technology performs quantitative analysis of the characteristics of skin issues through facial skin imagery, thereby providing a scientifically precise and well-founded management of the skin.
The application of medical hyperspectral imaging (MHSI) for the diagnosis of various diseases has given rise to a variety of algorithms that combine with it to enable more accurate and efficient diagnosis and classification detection of various diseases. AI typically employs data and statistical models that learn and recognize patterns to accomplish particular tasks.
In medical hyperspectral image (MHSI) processing, AI is mostly used in combination with MHSI for disease diagnosis and classification, detection, and segmentation of pathological images
Spectral imaging chips are composed of tens of thousands of miniaturized spectrometers, each of which can independently perform spectral analysis functions and represent the most advanced technology in the field of spectral imaging.
VitaOptiX pioneered the use of multispectral chips as the core components of testing devices in the fields of skin and medicine, achieving the miniaturization and popularization of the instruments.
Through a series of patented AI algorithms, VitaOptiX has successfully and accurately restored spectral images across various bands.
