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Roadmap of Terahertz Imaging 2021
Gintaras Valušis1,2, Alvydas Lisauskas3,4, Hui Yuan5
1Center for Physical Sciences and Technology (FTMC), Department of Optoelectronics, Saulėtekio Ave. 3, LT-10257 Vilnius, Lithuania.
Sensors (Basel, Switzerland)
|July 2, 2021
Summary
This roadmap details recent advances in terahertz (THz) imaging, focusing on optimized, miniaturized systems for practical use. It covers new solid-state sensors, compact sources, and advanced techniques like AI-driven processing for future THz imaging applications.
Area of Science:
- Optics and Photonics
- Solid-State Physics
- Imaging Technology
Background:
- Terahertz (THz) imaging systems are advancing rapidly, with a focus on optimization and miniaturization.
- Current research aims to enhance functionality, reduce power consumption, and increase convenience for real-world applications.
- Solid-state components and on-chip integration are key to developing compact THz imaging systems.
Purpose of the Study:
- To provide a roadmap of recent advances in terahertz (THz) imaging as of 2021.
- To highlight the optimization and miniaturization of THz imaging systems.
- To discuss current challenges and future evolution in the field of THz imaging.
Main Methods:
- Review of advanced solid-state THz imaging systems, including room temperature sensors and arrays.
- Exploration of compact THz emission sources (optoelectronic and electrically driven).
- Discussion of advanced THz techniques: light-field imaging, holography, nano-imaging, computational imaging, AI in data processing.
Main Results:
- Progress in room-temperature THz sensors, arrays, and on-chip integration.
- Development of compact THz sources and their application in beam-forming.
- Integration of AI for enhanced THz data processing and optical development.
- Review of diverse THz imaging techniques including holography, nano-imaging, and spectroscopy.
Conclusions:
- Significant advancements in THz imaging systems, particularly in miniaturization and solid-state components.
- Emerging role of AI and computational methods in advancing THz imaging capabilities.
- Future outlook suggests continued evolution towards more practical and versatile THz imaging solutions.

