Kim Jihwan, Lee Sang Joon
Department of Mechanical Engineering, Pohang University of Science and Technology, Pohang, Gyeongbuk, 37673, Republic of Korea.
Mil Med Res. 2024 Jun 13;11(1):38. doi: 10.1186/s40779-024-00541-8.
Digital in-line holographic microscopy (DIHM) is a non-invasive, real-time, label-free technique that captures three-dimensional (3D) positional, orientational, and morphological information from digital holographic images of living biological cells. Unlike conventional microscopies, the DIHM technique enables precise measurements of dynamic behaviors exhibited by living cells within a 3D volume. This review outlines the fundamental principles and comprehensive digital image processing procedures employed in DIHM-based cell tracking methods. In addition, recent applications of DIHM technique for label-free identification and digital tracking of various motile biological cells, including human blood cells, spermatozoa, diseased cells, and unicellular microorganisms, are thoroughly examined. Leveraging artificial intelligence has significantly enhanced both the speed and accuracy of digital image processing for cell tracking and identification. The quantitative data on cell morphology and dynamics captured by DIHM can effectively elucidate the underlying mechanisms governing various microbial behaviors and contribute to the accumulation of diagnostic databases and the development of clinical treatments.
数字同轴全息显微镜(DIHM)是一种非侵入性、实时、无标记技术,可从活生物细胞的数字全息图像中获取三维(3D)位置、方向和形态信息。与传统显微镜不同,DIHM技术能够精确测量活细胞在3D体积内表现出的动态行为。本综述概述了基于DIHM的细胞跟踪方法中所采用的基本原理和全面的数字图像处理程序。此外,还对DIHM技术在各种活动生物细胞(包括人类血细胞、精子、病变细胞和单细胞微生物)的无标记识别和数字跟踪方面的最新应用进行了全面研究。利用人工智能显著提高了细胞跟踪和识别数字图像处理的速度和准确性。DIHM捕获的细胞形态和动力学定量数据可以有效阐明控制各种微生物行为的潜在机制,并有助于诊断数据库的积累和临床治疗的发展。