IoT cloud laboratory: Internet of Things architecture for cellular biology

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

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

The Internet of Things (IoT) provides a simple framework to control online devices easily. IoT is now a commonplace tool used by technology companies but is rarely used in biology experiments. IoT can benefit cloud biology research through alarm notifications, automation, and the real-time monitoring of experiments. We developed an IoT architecture to control biological devices and implemented it in lab experiments. Lab devices for electrophysiology, microscopy, and microfluidics were created from the ground up to be part of a unified IoT architecture. The system allows each device to be monitored and controlled from an online web tool. We present our IoT architecture so other labs can replicate it for their own experiments.

Original languageEnglish
Article number100618
JournalInternet of Things (Netherlands)
Volume20
DOIs
StatePublished - Nov 2022

Keywords

  • Cloud biology
  • Cloud computing
  • Electrophysiology
  • Internet of things
  • Microfluidics
  • Microscopy

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