Suppr超能文献

基于无镜头阴影成像技术的现场白细胞分类装置。

Field-Portable Leukocyte Classification Device Based on Lens-Free Shadow Imaging Technique.

机构信息

Department of Electronics and Information Engineering, Korea University, Sejong 30019, Korea.

Maritime Safety Research Division, Korea Research Institute of Ships & Ocean Engineering, Daejeon 34103, Korea.

出版信息

Biosensors (Basel). 2022 Jan 18;12(2):47. doi: 10.3390/bios12020047.

Abstract

The complete blood count (CBC) is one of the most important clinical steps in clinical diagnosis. The instruments used for CBC are usually expensive and bulky and require well-trained operators. Therefore, it is difficult for medical institutions below the tertiary level to provide these instruments, especially in underprivileged countries. Several reported on-chip blood cell tests are still in their infancy and do not deviate from conventional microscopic or impedance measurement methods. In this study, we (i) combined magnetically activated cell sorting and the differential density method to develop a method to selectively isolate three types of leukocytes from blood and obtain samples with high purity and concentration for portable leukocyte classification using the lens-free shadow imaging technique (LSIT), and (ii) established several shadow parameters to identify the type of leukocytes in a complete leukocyte shadow image by shadow image analysis. The purity of the separated leukocytes was confirmed by flow cytometry. Several shadow parameters such as the "order ratio" and "minimum ratio" were developed to classify the three types of leukocytes. A shadow image library corresponding to each type of leukocyte was created from the tested samples. Compared with clinical reference data, a correlation index of 0.98 was obtained with an average error of 6% and a confidence level of 95%. This technique offers great potential for biological, pharmaceutical, environmental, and clinical applications, especially where point-of-care detection of rare cells is required.

摘要

全血细胞计数(CBC)是临床诊断中最重要的临床步骤之一。用于 CBC 的仪器通常昂贵且体积庞大,需要经过良好培训的操作人员。因此,三级以下的医疗机构很难提供这些仪器,特别是在贫困国家。已经有几项关于芯片上血细胞检测的报道,但仍处于起步阶段,并没有偏离传统的显微镜或阻抗测量方法。在这项研究中,我们 (i) 结合磁激活细胞分选和差示密度法,开发了一种从血液中选择性分离三种类型白细胞的方法,并使用无透镜阴影成像技术 (LSIT) 获得高纯度和高浓度的样本,用于便携式白细胞分类,以及 (ii) 通过阴影图像分析,建立了几个阴影参数来识别完整白细胞阴影图像中的白细胞类型。通过流式细胞术确认分离的白细胞的纯度。开发了几个阴影参数,如“顺序比”和“最小比”,用于对三种类型的白细胞进行分类。从测试样本中创建了与每种类型的白细胞对应的阴影图像库。与临床参考数据相比,得到了 0.98 的相关指数,平均误差为 6%,置信水平为 95%。这项技术在生物学、制药、环境和临床应用方面具有很大的潜力,特别是在需要对稀有细胞进行即时检测的地方。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aae9/8869521/a0e827f393b5/biosensors-12-00047-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验