LarvaTagger: manual and automatic tagging of Drosophila larval behaviour.

ABSTRACT:

Motivation

As more behavioural assays are carried out in large-scale experiments on Drosophila larvae, the definitions of the archetypal actions of a larva are regularly refined. In addition, video recording and tracking technologies constantly evolve. Consequently, automatic tagging tools for Drosophila larval behaviour must be retrained to learn new representations from new data. However, existing tools cannot transfer knowledge from large amounts of previously accumulated data. We introduce LarvaTagger, a piece of software that combines a pre-trained deep neural network, providing a continuous latent representation of larva actions for stereotypical behaviour identification, with a graphical user interface to manually tag the behaviour and train new automatic taggers with the up

SUBMITTER: Laurent F 

PROVIDER: S-EPMC11262801 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature