thresholding_demo.m interactively loads an image stack, performs thresholding based on the Laplace operator and extracts time-series information from the image stack based on a binary mask provided by the thresholding operation.
mthresh.m performs thresholding based on the Laplace operator.
load3d.m loads an image stack into a 3D array.
zstack.m retrieves z information from a 3D array, based on a binary mask.
These functions provide the core functionality of SARFIA, which was originally developed for Igor Pro.
Mario Dorostkar (2022). SARFIA (Semi-Automated Routines for Functional Image Analysis) (https://www.mathworks.com/matlabcentral/fileexchange/26482-sarfia-semi-automated-routines-for-functional-image-analysis), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform CompatibilityWindows macOS Linux
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!Start Hunting!