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IoT for Real-Time Measurement of High-Throughput Liquid Dispensing in Laboratory Environments

机译:物联网用于实验室环境中高通量液体分配的实时测量

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Critical to maintaining quality control in high-throughput screening is the need for constant monitoring of liquid-dispensing fidelity. Traditional methods involve operator intervention with gravimetric analysis to monitor the gross accuracy of full plate dispenses, visual verification of contents, or dedicated weigh stations on screening platforms that introduce potential bottlenecks and increase the plate-processing cycle time. We present a unique solution using open-source hardware, software, and 3D printing to automate dispenser accuracy determination by providing real-time dispense weight measurements via a network-connected precision balance. This system uses an Arduino microcontroller to connect a precision balance to a local network. By integrating the precision balance as an Internet of Things (IoT) device, it gains the ability to provide real-time gravimetric summaries of dispensing, generate timely alerts when problems are detected, and capture historical dispensing data for future analysis. All collected data can then be accessed via a web interface for reviewing alerts and dispensing information in real time or remotely for timely intervention of dispense errors. The development of this system also leveraged 3D printing to rapidly prototype sensor brackets, mounting solutions, and component enclosures.
机译:在高通量筛选中保持质量控制的关键是持续监控液体分配保真度的需求。传统方法包括操作人员进行重量分析干预,以监控满板分配的总体准确性,目视检查内容,或在筛选平台上使用专门的称重站,这会带来潜在的瓶颈并增加印版处理周期。我们提供了一个独特的解决方案,使用开源硬件,软件和3D打印,通过网络连接的精密天平提供实时的分配重量测量值,从而自动确定分配器的精度。该系统使用Arduino微控制器将精密天平连接到本地网络。通过将精密天平集成为物联网(IoT)设备,它可以提供实时的重量分配摘要,检测到问题时及时生成警报以及捕获历史分配数据以供将来分析。然后可以通过Web界面访问所有收集的数据,以实时或远程查看警报和分配信息,以便及时干预分配错误。该系统的开发还利用3D打印来快速制作传感器支架,安装解决方案和组件外壳的原型。

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