Laboratory of Biomedical Photoacoustics, Saratov State University, 410012 Saratov, Russia.
Department of Physical and Colloid Chemistry, National University of Oil and Gas (Gubkin University), 119991 Moscow, Russia.
Int J Mol Sci. 2020 Mar 27;21(7):2323. doi: 10.3390/ijms21072323.
Flow cytometry nowadays is among the main working instruments in modern biology paving the way for clinics to provide early, quick, and reliable diagnostics of many blood-related diseases. The major problem for clinical applications is the detection of rare pathogenic objects in patient blood. These objects can be circulating tumor cells, very rare during the early stages of cancer development, various microorganisms and parasites in the blood during acute blood infections. All of these rare diagnostic objects can be detected and identified very rapidly to save a patient's life. This review outlines the main techniques of visualization of rare objects in the blood flow, methods for extraction of such objects from the blood flow for further investigations and new approaches to identify the objects automatically with the modern deep learning methods.
流式细胞术是现代生物学中的主要工作仪器之一，为临床提供许多血液相关疾病的早期、快速和可靠诊断铺平了道路。临床应用的主要问题是检测患者血液中的罕见病原体。这些对象可以是循环肿瘤细胞，在癌症发展的早期非常罕见，也可以是急性血液感染期间血液中的各种微生物和寄生虫。所有这些罕见的诊断对象都可以被快速检测和识别，以挽救患者的生命。本文综述了血流中罕见目标可视化的主要技术、从血流中提取此类目标进行进一步研究的方法，以及使用现代深度学习方法自动识别目标的新方法。
