Learn R Programming

GoodFibes (version 0.1.13)

Detection and Reconstruction of Muscle Fibers from diceCT Image Data

Description

Reconstruction of muscle fibers from image stacks using textural analysis. Includes functions for tracking, smoothing, cleaning, plotting and exporting muscle fibers. Also calculates basic fiber properties (e.g., length and curvature).

Copy Link

Version

Install

install.packages('GoodFibes')

Monthly Downloads

227

Version

0.1.13

License

GPL (>= 2)

Maintainer

J. Arbour

Last Published

February 19th, 2026

Functions in GoodFibes (0.1.13)

muscle.plot

Plot a single muscle fiber
good.fibes

Automated detection of muscle fibers from diceCT scans
sequencePlot

Plot the path of a muscle fiber generated using good.fibes
hemisphere.points

Finding end points of possible paths
quality.check

Quality testing of possible muscle fibers detected by good.fibes
pointsGenerator

Line points generator
thresholdPlot

Plot image from diceCT stack using thresholding
GoodFibes-package

tools:::Rd_package_title("GoodFibes")
check.overlap

Check if muscle fibers are redundant
equalize.stack

Automated histogram equalization of image state
crop.stack

Automated imaging cropping
fibers.smoothed

Smoothing of estimated fiber paths
fuse.fibers.auto

Automated repeated fusing of fiber paths
fiber.angle

Experimental! Calculating the orientation of muscle fibers
fiber.lengths

Calculated the length of smoothed muscle fibers
fiber.curve

Calculate the relative curvature of muscle fibers
color.scale

A simple wrapper to create colors for a continuous variable
fuse.fibers

Fuse incomplete fibers
muscle.plot.multi

Plot multi muscle fibers with a muscle outline
ant.final

Ant muscle fibers finalized
ant.raw

Raw ant muscle fibers
boundary.check

Check if muscle fiber is close to boundary of muscle
muscle.plot.stl

Plot and export muscle fibers to stl
get.whites

An internal function determining grayscale values