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High-throughput fecundity measurements in Drosophila.

Pierre NouhaudFrançois MallardRodolphe PoupardinNeda BarghiChristian Schlötterer
Published in: Scientific reports (2018)
Fecundity is probably the most frequently studied fitness component in Drosophila. Nevertheless, currently used methods to measure fecundity are not well-suited for large-scale experiments, with many populations being assayed in parallel. Here we present a standardized pipeline to measure fecundity in many Drosophila population samples with substantially reduced hand on times. Using a high-contrast medium for egg laying, we developed a Java plug-in for ImageJ to quantify the number of eggs by image processing. We show that our method is fast and provides reliable egg counts.
Keyphrases
  • high throughput
  • magnetic resonance
  • body composition
  • deep learning
  • single cell
  • machine learning