Quantitative mosaic analysis of Drosophila imaginal discs.
Fly-QMA is part of the NU FlyEye platform for quantitative analysis of Drosophila imaginal discs. The package enables Quantitative Mosaic Analysis (QMA) - that is, it helps users quantify and analyze expression patterns in mosaic tissues.
Expression patterns are typically identified by comparing the fluorescence of target gene reporters between groups of cells. Fly-QMA helps quantify these differences in reporter expression. Quantification entails measuring fluorescence intensities by analyzing images of imaginal discs. These measurements may then used to detect and analyze spatial patterns within each image.
Given confocal microscopy data, Fly-QMA facilitates:
Segmentation. Detect cell nuclei within each image
Measurement. Quantify reporter expression levels
Bleedthrough Control. Correct for fluorescence bleedthrough
Annotation. Label distinct subpopulations of cells
ROI Definition. Manually define regions of interest
Comparison. Compare expression levels between subpopulations
Please visit the Fly-QMA homepage for tips on getting started.
Installing Fly-QMA is easy. Set up a working environment running Python 3.6+, then install via
pip install flyqma
See the Fly-QMA tutorial.
For additional examples of complete projects utilizing Fly-QMA and the entire NU FlyEye platform, check out:
- Our Fly-QMA manuscript
- Our study of Pnt and Yan expression during retinal patterning in Drosophila.
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