Skip to main navigation Skip to search Skip to main content

Quantifying Drosophila melanogaster Eye Phenotypes: A Computational Approach Integrating ilastik and Flynotyper

  • Qasim Mujteba
  • , Madeleine R. Chalmers
  • , Ji Hye Kim
  • , Minwoo Baek
  • , Nam Chul Kim

Research output: Contribution to journalArticlepeer-review

Abstract

The Drosophila melanogaster compound eye is a well-structured and comprehensive array of around 800 ommatidia, exhibiting a symmetrical and hexagonal pattern. This regularity and ease of observation make the Drosophila eye system a powerful tool to model various human neurodegenerative diseases. However, ways of quantifying abnormal phenotypes, such as manual ranking of eye severity scores, have limitations, especially when ranking weak alterations in eye morphology. To overcome these limitations, computational approaches have been developed such as Flynotyper. The use of a ring light allows for better qualitative images accessing the intactness of individual ommatidia. However, these images cannot be analyzed by Flynotyper directly due to shadows on ommatidia introduced by the ring light. Here, we describe an unbiased way to quantify rough eye phenotypes observed in Drosophila disease models by combining two software, ilastik and Flynotyper. By preprocessing the images with ilastik, successful quantification of the rough eye phenotype can be achieved with Flynotyper.

Original languageEnglish (US)
Article numbere67219
JournalJournal of Visualized Experiments
Volume2024-October
Issue number212
DOIs
StatePublished - Oct 2024

Bibliographical note

Publisher Copyright:
© 2024 JoVE Journal of Visualized Experiments.

PubMed: MeSH publication types

  • Journal Article
  • Video-Audio Media

Fingerprint

Dive into the research topics of 'Quantifying Drosophila melanogaster Eye Phenotypes: A Computational Approach Integrating ilastik and Flynotyper'. Together they form a unique fingerprint.

Cite this