Joshi Naveen, Shukla Shubhangi, Narayan Roger J
Department of Materials Science and Engineering North Carolina State University Raleigh North Carolina USA.
Joint Department of Biomedical Engineering North Carolina State University Raleigh North Carolina USA.
Transl Biophotonics. 2022 Mar-May;4(1-2):e202200001. doi: 10.1002/tbio.202200001. Epub 2022 Mar 15.
The COVID-19 pandemic that began in March 2020 continues in many countries. The ongoing pandemic makes early diagnosis a crucial part of efforts to prevent the spread of SARS-CoV-2 infections. As such, the development of a rapid, reliable, and low-cost technique with increased sensitivity for detection of SARS-CoV-2 is an important priority of the scientific community. At present, nucleic acid-based techniques are primarily used as the reference approach for the detection of SARS-CoV-2 infection. However, in several cases, false positive results have been observed with these techniques. Due to the drawbacks associated with existing techniques, the development of new techniques for the diagnosis of COVID-19 is an important research activity. We provide an overview of novel diagnostic methods for SARS-CoV-2 diagnosis that integrate photonic technology with artificial intelligence. Recent developments in emerging diagnostic techniques based on the principles of advanced molecular spectroscopy and microscopy are considered.
始于2020年3月的新冠疫情在许多国家仍在持续。当前的疫情使得早期诊断成为预防新冠病毒感染传播工作的关键部分。因此，开发一种快速、可靠且低成本、对新冠病毒检测灵敏度更高的技术是科学界的一项重要优先事项。目前，基于核酸的技术主要用作检测新冠病毒感染的参考方法。然而，在一些情况下，这些技术出现了假阳性结果。由于现有技术存在的缺陷，开发用于新冠诊断的新技术是一项重要的研究活动。我们概述了将光子技术与人工智能相结合的新冠病毒新型诊断方法。还考虑了基于先进分子光谱学和显微镜原理的新兴诊断技术的最新进展。
