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Flynotyper 2.0: An updated tool for rapid quantitative assessment of Drosophila eye phenotypes.

Johnathan RayDeepro BanerjeeQingyu WangSanthosh D Girirajan
Published in: G3 (Bethesda, Md.) (2024)
About two-thirds of the genes in the Drosophila melanogaster genome are also involved in its eye development, making the Drosophila eye an ideal system for genetic studies. We previously developed Flynotyper, a software that uses image processing operations to identify and quantify the degree of roughness by measuring disorderliness of ommatidial arrangement in the fly eye. This software has enabled researchers to quantify morphological defects of thousands of eye images caused by genetic perturbations. Here, we present Flynotyper 2.0, a software that has an updated computer vision library, improved performance, and a streamlined pipeline for high-throughput analysis of multiple eye images. We also tested several batches of Drosophila eye images to ensure robustness and reproducibility of the updated Flynotyper 2.0 software.
Keyphrases
  • deep learning
  • high throughput
  • genome wide
  • drosophila melanogaster
  • convolutional neural network
  • optical coherence tomography
  • data analysis
  • dna methylation
  • machine learning
  • quantum dots