Automatic Identification of Malaria-Infected RBC With Digital Holographic Microscopy Using Correlation Algorithms
Automatic Identification of Malaria-Infected RBC With Digital Holographic Microscopy Using Correlation Algorithms
复制标题
DOI：
10.1109/jphot.2012.2210199
复制
发表时间：
2012-10-01
影响因子：
2.4
通讯作者：
Javidi, B.
中科院分区：
文献类型：
--
作者：
Anand, A.;Chhaniwal, V. K.;Javidi, B.
疟疾的诊断对于药物治疗和治疗非常重要。一个自动的紧凑型诊断工具将是有利的，特别是对于在发展中国家工作的医疗保健人员，缺乏训练有素的专业人员和高质量的设备。数字全息显微术是细胞定量评价的先进技术之一，可直接提供细胞厚度信息。通过干涉测量比较获得的该信息可用于识别以及比较细胞。在这里，我们描述了使用数字全息干涉显微镜（DHIM）与数值聚焦疟疾感染的红细胞（RBC）的自动识别。通过将其形状轮廓与健康RBC的形状轮廓进行比较来进行识别。相关函数用于分离健康和疟疾感染的RBC。
Diagnosis of malaria is important for its medication and treatment. An automatic compact diagnostic tool will be advantageous especially for healthcare personnel working in developing countries, which lack trained professionals and high-quality equipments. Digital holographic microscopy is one of the advanced techniques for quantitative evaluation of cells, providing cell thickness information directly. This information obtained by interferometric comparison can be used to identify as well as to compare cells. Here, we describe the use of digital holographic interferometric microscopy (DHIM) with numerical focusing for automatic identification of malaria-infected red blood cells (RBCs). Identification is done by comparing its shape profile with that of a healthy RBC. A correlation function was used to separate healthy and malaria-infected RBCs.