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A free and user-friendly software protocol for the quantification of microfauna swimming behavior.

Colleen M McMakenKristin E Gribble
Published in: BioTechniques (2024)
Characterizing swimming behavior can provide a holistic assessment of the health, physiology and ecology of microfaunal species when done in conjunction with measuring other biological parameters. However, tracking and quantifying microfauna swimming behavior using existing automated tools is often difficult due to the animals' small size or transparency, or because of the high cost, expertise, or labor needed for the analysis. To address these issues, we created a cost-effective, user-friendly protocol for behavior analysis that employs the free software packages HitFilm and ToxTrac along with the R package 'trajr' and used the method to quantify the behavior of rotifers. This protocol can be used for other microfaunal species for which investigators may face similar issues in obtaining measurements of swimming behavior.
Keyphrases
  • randomized controlled trial
  • healthcare
  • machine learning
  • deep learning
  • health information
  • single cell
  • genetic diversity