Department of Electrical and Information EngineeringJiangsu UniversityZhenjiang212013China.
Department of MedicineJiangsu UniversityZhenjiang212013China.
IEEE J Transl Eng Health Med. 2021 Jan 26;9:2800109. doi: 10.1109/JTEHM.2021.3054556. eCollection 2021.
Vaginitis is a common and very private disease, and the current diagnosis is a frequent go to the hospital for testing.
In order to improve the convenience and speed of detection, in this paper, we have developed a hand-held zoom micro-imaging system based on a microfluidic chip for point-of-care testing (POCT) of vaginal inflammation.
This system consists of a microfluidic chip, an optical system and a hand-held zoom system assembled with a mobile phone. In terms of hardware, we designed a self-priming microfluidic chip, which can realize automatic sampling and full mixing of samples. We have also developed an optical system that can be adapted to smartphones, which has a lens group with a 37x magnification function and equipped with a zoom system with a focus range of 4mm to 6mm. In terms of software, we proposed an APP that can accurately identify cocci and can determine the inflammation level.
Compared with the recognition rate of the observers in the hospital, the detection accuracy of the portable recognition system is 95%, and after testing the clinical samples, the results were completely consistent with the hospital diagnosis results. The detection limit was 500 CFU / ml, which the relative error was (0.9 ± 0.3) %, and recognition time is 7 seconds.
This system is definitely suitable for women's point-of-care testing (POCT).
阴道炎是一种常见且非常私密的疾病,目前的诊断方法是频繁去医院进行检测。
为了提高检测的便利性和速度,本文开发了一种基于微流控芯片的手持式缩放微成像系统,用于即时护理测试(POCT)阴道炎症。
该系统由微流控芯片、光学系统和与手机组装在一起的手持式缩放系统组成。在硬件方面,我们设计了一种自吸微流控芯片,可以实现样品的自动采样和完全混合。我们还开发了一种适用于智能手机的光学系统,它具有 37 倍放大功能的透镜组,并配备了具有 4mm 至 6mm 焦点范围的缩放系统。在软件方面,我们提出了一种可以准确识别球菌并确定炎症程度的 APP。
与医院观察者的识别率相比,便携式识别系统的检测准确率为 95%,经过临床样本测试后,结果与医院诊断结果完全一致。检测限为 500 CFU/ml,相对误差为(0.9 ± 0.3)%,识别时间为 7 秒。
该系统非常适合女性即时护理测试(POCT)。