High-Spectral-Resolution Image Sensing

Dear Colleagues,

Spectral analysis uses the reflection spectrum of materials to identify them and determine their chemical composition and relative content. This technique is sensitive, non-destructive, fast, and non-labeled. Each atom has its own unique light spectrum, like human "fingerprints", constituting the basis of the study of atomic structure. New elements can be found with spectral analysis, and molecules, proteins, tissues, etc., can also be detected, allowing for disease diagnosis and human health assessment.

High-spectral-resolution image sensing is a sensing technology for objects with different reflection spectra that uses very narrow and continuous spectral channels. In the visible light to the short-wave infrared band, the spectral resolution can be up to nanometer (nm) order of magnitude, and it often includes multi channels, dozens or even hundreds of spectral channels, and continuous spectral channels.

This Special Issue covers fundamental, applied experimental, and theoretical studies of high-spectral-resolution image sensing, including:

• Materials and nanostructures;
• Fundamental properties;
• Devices and applications;
• Integrated circuit chip;
• Fabrication and processing;
• Simulation and system analytical techniques.

Prof. Dr. Yu Zhang
Dr. Huichao Zhang
Dr. Xinmiao Lu
Guest Editors

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• high-spectral-resolution image sensing
• narrow bandpass filter
• multiple and continuous spectral channels