Application of Terahertz Technology for Neuroscience

来源 :Journal of Electronic Science and Technology | 被引量 : 0次 | 上传用户:smallfishyl
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Brain is the most complex organ of human beings. The complete understanding of human brains’ functions is an ongoing challenge for neuroscience. Although there are many techniques used for brain research, neuroscientists, physicists, and engineers are still exploring other access of research for applications. Terahertz(THz) spectroscopy and imaging may create such a space for brain research. THz spectroscopic technique, which is a novel medical imaging modality, attracts attention of biomedical applications due to its unique features including non-invasive, non-ionizing, and high sensitivity to biomolecules and tissues. In this article, we introduce our recent investigations on neuroscience using THz techniques, meanwhile, introduce other’s work in this field. Our and others’ investigations indicate that the THz spectroscopy and imaging technique can be useful for diagnosing brain tumors and neurodegenerative diseases. THz spectroscopy and imaging has the potential to become real-time in vivo diagnostic methods. The complete understanding of human brains’ functions is an ongoing challenge for neuroscience. Although there are many techniques used for brain research, neuroscientists, physicists, and engineers are still exploring other access of research for applications THz spectroscopic and imaging may create such a space for brain research. THz spectroscopic technique, which is a novel medical imaging modality, attracts attention of biomedical applications due to its unique features including non-invasive, non-ionizing, and high sensitivity to biomolecules and tissues. In this article, we introduce our recent investigations on neuroscience using THz techniques, meanwhile, introducing other’s work in this field. Our and others’ an investigations of that THz spectroscopy and imaging techniques can be useful for diagnosing brain tumors and neurodegenerative diseases. THz spectroscopy and imaging has the potential to become real-time in vivo diagnostic methods.
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