Liu Li, Du Ke
Department of Chemical and Environmental Engineering, University of California, Riverside, California 92521, USA.
Biomicrofluidics. 2024 Jan 12;18(1):011301. doi: 10.1063/5.0185732. eCollection 2024 Jan.
Computer vision has become a powerful tool in the field of biosensing, aiding in the development of innovative and precise systems for the analysis and interpretation of biological data. This interdisciplinary approach harnesses the capabilities of computer vision algorithms and techniques to extract valuable information from various biosensing applications, including medical diagnostics, environmental monitoring, and food health. Despite years of development, there is still significant room for improvement in this area. In this perspective, we outline how computer vision is applied to raw sensor data in biosensors and its advantages to biosensing applications. We then discuss ongoing research and developments in the field and subsequently explore the challenges and opportunities that computer vision faces in biosensor applications. We also suggest directions for future work, ultimately underscoring the significant impact of computer vision on advancing biosensing technologies and their applications.
计算机视觉已成为生物传感领域的强大工具，有助于开发创新且精确的系统，用于分析和解释生物数据。这种跨学科方法利用计算机视觉算法和技术的能力，从各种生物传感应用中提取有价值的信息，包括医学诊断、环境监测和食品健康。尽管经过多年发展，该领域仍有很大的改进空间。从这个角度出发，我们概述了计算机视觉如何应用于生物传感器中的原始传感器数据及其对生物传感应用的优势。然后，我们讨论了该领域正在进行的研究和开发，随后探讨了计算机视觉在生物传感器应用中面临的挑战和机遇。我们还提出了未来工作的方向，最终强调了计算机视觉对推动生物传感技术及其应用的重大影响。
