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Table 1 Morphological and fluorescent features and their calculation methods

From: WorMachine: machine learning-based phenotypic analysis tool for worms

Feature Calculation
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