Balter Max L, Chen Alvin I, Fromholtz Alex, Gorshkov Alex, Maguire Tim J, Yarmush Martin L
Department of Biomedical Engineering, Rutgers University, Piscataway, NJ, USA.
Chief Executive Officer of VascuLogic, LLC, Piscataway, NJ, USA.
Rep U S. 2016 Oct;2016:514-520. doi: 10.1109/IROS.2016.7759102. Epub 2016 Dec 1.
Diagnostic blood testing is the most prevalent medical procedure performed in the world and forms the cornerstone of modern health care delivery. Yet blood tests are still predominantly carried out in centralized labs using large-volume samples acquired by manual venipuncture, and no end-to-end solution from blood draw to sample analysis exists today. Our group is developing a platform device that merges robotic phlebotomy with automated diagnostics to rapidly deliver patient information at the site of the blood draw. The system couples an image-guided venipuncture robot, designed to address the challenges of routine venous access, with a centrifuge-based blood analyzer to obtain quantitative measurements of hematology. In this paper, we first present the system design and architecture of the integrated device. We then perform a series of experiments to evaluate the cannulation accuracy of the system on blood vessel phantoms. Next, we assess the effects of vessel diameter, needle gauge, flow rate, and viscosity on the rate of sample collection. Finally, we demonstrate proof-of-concept of a white cell assay on the blood analyzer using human samples spiked with fluorescently labeled microbeads.
诊断性血液检测是世界上最普遍的医疗程序，也是现代医疗保健服务的基石。然而，血液检测仍主要在集中式实验室中进行，使用通过手动静脉穿刺采集的大量样本，而且目前还不存在从采血到样本分析的端到端解决方案。我们的团队正在开发一种平台设备，将机器人静脉穿刺与自动诊断相结合，以便在采血现场快速提供患者信息。该系统将一个旨在应对常规静脉通路挑战的图像引导静脉穿刺机器人与一个基于离心机的血液分析仪相结合，以获得血液学的定量测量结果。在本文中，我们首先介绍该集成设备的系统设计和架构。然后，我们进行一系列实验，以评估该系统在血管模型上的插管准确性。接下来，我们评估血管直径、针规、流速和粘度对样本采集率的影响。最后，我们使用添加了荧光标记微珠的人体样本，在血液分析仪上展示白细胞检测的概念验证。
