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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