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MVO 自动化平台:利用微控制器、3D 打印和开源硬件/软件满足临床实验室的未满足需求。

MVO Automation Platform: Addressing Unmet Needs in Clinical Laboratories with Microcontrollers, 3D Printing, and Open-Source Hardware/Software.

机构信息

1 Department of Medicine, Johns Hopkins University, School of Medicine, Baltimore, MD, USA.

出版信息

SLAS Technol. 2018 Oct;23(5):423-431. doi: 10.1177/2472630318773693. Epub 2018 May 10.

DOI:10.1177/2472630318773693
PMID:29746790
Abstract

Laboratory automation improves test reproducibility, which is vital to patient care in clinical laboratories. Many small and specialty laboratories are excluded from the benefits of automation due to low sample number, cost, space, and/or lack of automation expertise. The Minimum Viable Option (MVO) automation platform was developed to address these hurdles and fulfill an unmet need. Consumer 3D printing enabled rapid iterative prototyping to allow for a variety of instrumentation and assay setups and procedures. Three MVO versions have been produced. MVOv1.1 successfully performed part of a clinical assay, and results were comparable to those of commercial automation. Raspberry Pi 3 Model B (RPI3) single-board computers with Sense Hardware Attached on Top (HAT) and Raspberry Pi Camera Module V2 hardware were remotely accessed and evaluated for their suitability to qualify the latest MVOv1.2 platform. Sense HAT temperature, barometric pressure, and relative humidity sensors were stable in climate-controlled environments and are useful in identifying appropriate laboratory spaces for automation placement. The RPI3 with camera plus digital dial indicator logged axis travel experiments. RPI3 with camera and Sense HAT as a light source showed promise when used for photometric dispensing tests. Individual well standard curves were necessary for well-to-well light and path length compensations.

摘要

实验室自动化可提高测试重现性,这对临床实验室的患者护理至关重要。由于样本数量少、成本高、空间有限和/或缺乏自动化专业知识,许多小型和专业实验室无法从自动化中受益。开发最小可行选项(MVO)自动化平台是为了克服这些障碍,并满足未满足的需求。消费者 3D 打印能够快速进行迭代原型设计,从而支持各种仪器和检测设置和程序。已经生产了三个 MVO 版本。MVOv1.1 成功执行了临床检测的一部分,结果与商业自动化的结果相当。远程访问了带有 Sense Hardware Attached on Top(HAT)的 Raspberry Pi 3 Model B(RPI3)单板计算机和 Raspberry Pi Camera Module V2 硬件,并对其进行了评估,以确定其是否适合最新的 MVOv1.2 平台。Sense HAT 温度、气压和相对湿度传感器在恒温环境下稳定,可用于识别适合自动化放置的实验室空间。带有摄像头和数字刻度盘指示器的 RPI3 可记录轴行程实验。带有摄像头和 Sense HAT 的 RPI3 可用作光源,在进行光度分配测试时显示出了前景。需要为每个孔的标准曲线进行孔间光和路径长度补偿。

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