GOSH_v4.pdf

Poster on "Open Science Hardware in Microbiology" presented on the "Molecular Biology of Plant Pathogens" meeting in 2019 by Alexander Kutschera (19.03.2019).<br>Hardware is a vital part of science: microscopes, sensors, reagents and instruments are all central to experimentation but the current supply chain limits access to many people and impedes creativity and customisation. Open Science Hardware addresses part of this problem through sharing open designs to expand the availability of customisable and often lower cost tools within academic research, citizen science and education. Technologies such as 3D printing and electronics platforms like Arduino and Raspberry Pi are making it ever easier to get started with designing hardware for your experiments. Here we present two projects as examples for Open Science Hardware in Microbiology.We recently developed a low-cost test tube photometer which is capable of performing continuous cell-density measurements [1]. It is based on a simple photodiode with on-board signal amplification which is connected to a microcontroller. The housing consists out of modular 3D-printed parts which can be easily customized to fit different test tube sizes. The accuracy of the device is equal to commercial photometers and can be used to monitor growth dynamics of microbes. In another project we designed a 3D-printable lighting chamber for agar plates and combined it with a single-board computer and camera. It can be used to take time-lapse images and process the content. We used it to monitor bacterial swarming motility and calculate motility dynamics over time.<br>

2019年3月19日，亚历山大·库彻拉（Alexander Kutschera）于“植物病原菌分子生物学”学术会议上展示的题为《微生物学中的开源科学硬件（Open Science Hardware）》的海报。<br>硬件是科研工作不可或缺的核心组成部分：显微镜、传感器、试剂与各类仪器均为实验开展的关键支撑，但当前的供应链体系限制了诸多群体的获取途径，同时阻碍了创新创造与定制化研发。开源科学硬件通过共享开源设计，在学术研究、公民科学与教育领域推广可定制且通常成本更低的工具，从而部分解决了上述问题。诸如3D打印技术、Arduino与Raspberry Pi等电子平台，正大幅降低实验用硬件设计的入门门槛。本文以两项项目为例，展示微生物学领域的开源科学硬件应用。我们近期研发了一款低成本试管光度计，可实现连续细胞密度测量[1]。该设备基于搭载板载信号放大功能的简易光电二极管，并与微控制器相连；其外壳采用模块化3D打印部件制成，可轻松定制以适配不同规格的试管。本设备的测量精度可媲美商用光度计，可用于监测微生物的生长动态。在另一项研究中，我们设计了一款可3D打印的琼脂平板光照培养舱，并将其与单板计算机及摄像头相结合。该系统可用于拍摄延时摄影图像并对图像内容进行处理，我们曾用其监测细菌的群集运动，并计算不同时间点的运动动态变化。