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MyVivarium: A cloud-based lab animal colony management application with realtime ambient sensing

  • Robinson Vidva
  • , Mir Abbas Raza
  • , Jaswant Prabhakaran
  • , Ayesha Sheikh
  • , Alaina Sharp
  • , Hayden Ott
  • , Amelia Moore
  • , Christopher Fleisher
  • , Hailey Netherton
  • , Evan Goldstein
  • , Pothitos M. Pitychoutis
  • , Tam V. Nguyen
  • , Aaron Sathyanesan

Research output: Contribution to journalArticlepeer-review

Abstract

Management of research-animal colonies is vital for lab productivity in preclinical research. Labs often rely on inefficient paper-based or spreadsheet-based methods to manage animal colonies. Dedicated software-based solutions are generally expensive and many lack remote access. Currently available open-source alternatives are difficult to implement and deploy. These solutions also do not have the capability to track ambient variables that affect colony well-being. We built MyVivarium, an open-source database management web application to address these gaps. MyVivarium can be easily deployed to the cloud and sustained for a cost comparable to starting and maintaining a lab website. Using MyVivarium, lab members can collaboratively track individual animals within a database. Physical identities of cages map onto the database using QR codes, enabling quick and easy record-keeping on mobile devices. Lab administrators can assign tasks to users with reminders for experiments or cage maintenance. Finally, we designed a low-cost system to sense ambient humidity, temperature, vivarium worker activity, and room illuminance. These data are then sent to MyVivarium in realtime providing information relevant to colony well-being. Taken together, MyVivarium is a novel, open-source, cloud-based application template that provides a low-cost, simple, and efficient way to digitally manage research-animal colonies.

Original languageEnglish (US)
Pages (from-to)612-623
Number of pages12
JournalComputational and Structural Biotechnology Journal
Volume27
DOIs
StatePublished - Jan 2025

Keywords

  • Biological database
  • IoT sensors
  • Mouse facility
  • Open-source technology

ASJC Scopus subject areas

  • Biotechnology
  • Structural Biology
  • Biophysics
  • Biochemistry
  • Genetics
  • Computer Science Applications

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