Portal de Periódicos da CAPES

Internet of Things Architecture for High Throughput Biology

2021; RELX Group (Netherlands); Linguagem: Inglês

10.2139/ssrn.3908772

1556-5068

David F. Parks, Kateryna Voitiuk, Jinghui Geng, Matthew A.T. Elliott, Matthew G. Keefe, Erik Jung, Ash Robbins, Pierre V. Baudin, Victoria T. Ly, Nico Hawthorne, Dylan Yong, Sebastian E. Sanso, Nick Rezaee, Jess L. Sevetson, Spencer T. Seiler, Robert Currie, Keith B. Hengen, Tomasz J. Nowakowski, Sofie R. Salama, Mircea Teodorescu, David Haussler,

Neuroscience and Neural Engineering

New cell culture techniques have led to complex tissue models in biological experiments. For example, 3-D cerebral organoids provide a more realistic model of the human cortical tissue. However, these cell culture experiments are restricted by high costs and limited labor. A massively scalable and cost efficient platform for tissue experiments would benefit genomics, neuroscience, and translational medicine by enabling advanced high throughput tissue screens. Cloud computing and the Internet of Things (IoT) provide new tools for managing multiple experiments in parallel that are remotely controlled through automation. We introduce a cloud-based IoT architecture that takes advantage of these tools to offer an environment where researchers can run thousands of cell culture experiments at once. This technology allows studies with cell cultures to be performed at scales far beyond a single lab setting, democratizing access to advanced tissue models and enabling new avenues of research.