Cojoc Dan, Finaurini Sara, Livshits Pavel, Gur Eran, Shapira Alon, Mico Vicente, Zalevsky Zeev
Biomed Opt Express. 2012 May 1;3(5):991-1005. doi: 10.1364/BOE.3.000991. Epub 2012 Apr 18.
Diagnosis of malaria must be rapid, accurate, simple to use, portable and low cost, as suggested by the World Health Organization (WHO). Despite recent efforts, the gold standard remains the light microscopy of a stained blood film. This method can detect low parasitemia and identify different species of Plasmodium. However, it is time consuming, it requires well trained microscopist and good instrumentation to minimize misinterpretation, thus the costs are considerable. Moreover, the equipment cannot be easily transported and installed. In this paper we propose a new technique named "secondary speckle sensing microscopy" (S(3)M) based upon extraction of correlation based statistics of speckle patterns generated while illuminating red blood cells with a laser and inspecting them under a microscope. Then, using fuzzy logic ruling and principle component analysis, good quality of separation between healthy and infected red blood cells was demonstrated in preliminary experiments. The proposed technique can be used for automated high rate detection of malaria infected red blood cells.
正如世界卫生组织（WHO）所建议的，疟疾的诊断必须快速、准确、易于使用、便于携带且成本低廉。尽管最近做出了努力，但金标准仍然是对染色血涂片进行光学显微镜检查。这种方法可以检测低疟原虫血症并识别不同种类的疟原虫。然而，它耗时较长，需要训练有素的显微镜技术人员以及良好的仪器设备以尽量减少误判，因此成本相当高。此外，该设备不易运输和安装。在本文中，我们提出了一种名为“二次散斑传感显微镜”（S(3)M）的新技术，该技术基于对在用激光照射红细胞并在显微镜下观察时产生的散斑图案的基于相关性的统计数据进行提取。然后，通过使用模糊逻辑规则和主成分分析，在初步实验中证明了健康红细胞与感染红细胞之间具有良好的分离质量。所提出的技术可用于疟疾感染红细胞的自动化高速检测。
