Ray Johnathan, Banerjee Deepro, Wang Qingyu, Girirajan Santhosh
Department of Biochemistry and Molecular Biology, Pennsylvania State University, University Park, PA.
Bioinformatics and Genomics Graduate Program, Huck Institutes of Life Sciences, Pennsylvania State University, University Park, PA.
bioRxiv. 2024 Aug 16:2024.04.07.588481. doi: 10.1101/2024.04.07.588481.
About two-thirds of the genes in the genome are also involved in its eye development, making the 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 eye images to ensure robustness and reproducibility of the updated Flynotyper 2.0 software.
The source code for Flynotyper 2.0 can be downloaded and installed from https://github.com/girirajanlab/flynotyper-desktop-application.
基因组中约三分之二的基因也参与眼睛发育，这使得眼睛成为遗传学研究的理想系统。我们之前开发了Flynotyper软件，该软件通过测量果蝇眼睛小眼排列的无序程度，利用图像处理操作来识别和量化粗糙度。该软件使研究人员能够对由基因扰动引起的数千张眼睛图像的形态缺陷进行量化。在此，我们展示Flynotyper 2.0软件，它具有更新的计算机视觉库、改进的性能以及用于多眼图像高通量分析的简化流程。我们还测试了几批眼睛图像，以确保更新后的Flynotyper 2.0软件的稳健性和可重复性。
Flynotyper 2.0的源代码可从https://github.com/girirajanlab/flynotyper-desktop-application下载并安装。
