From: WorMachine: machine learning-based phenotypic analysis tool for worms
Feature | Calculation |
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Area | Number of pixels in the worm's area × pixel height × pixel width |
Length | Number of pixels in the worm's skeleton × pixel height |
Thickness | Area/length |
Midwidth | Number of pixels in the worm's center width × pixel height |
Head and tail diameter ratios | \( \frac{\mathrm{Diameter}\;\mathrm{at}\;\mathrm{thickest}\kern0.17em \mathrm{section}\;10\%\mathrm{from}\kern0.17em \mathrm{edge}}{\mathrm{Diameter}\;\mathrm{at}\;\mathrm{slimmest}\kern0.17em \mathrm{section}\;10-20\%\mathrm{from}\kern0.17em \mathrm{edge}} \) |
Head Bright-Field | Mean brightness of a polygon within the worm's head |
Tail Bright-Field | Mean brightness of a polygon within the worm's tail |
Peaks count | 2d local maximum of fluoresecent intensities |
Mean and STD of peaks | Average and standard deviation of peak intensities |
Corrected Total Worm Fluoresence (CTWF) | Mean worm fluorescence × worm area – mean background fluorescence × worm area |
Raw Integrated Density (RID) | Sum of worm fluorescence in its area – mean background fluorescence × worm area |