Semi-automated Cell Fluorescence Measurements
by Zeyi Yang
A deep learning-assisted ROI labeller designed for cell fluorescence measurements.
Updated 26 Aug 2021
This ROI labeller was designed for the purpose of cell fluorescence measurements, though its functionalities are not limited to this purpose. One may export region of interests data (MATLAB cell array of ROI objects), as a binary mask, or as an instance mask.
A deep learning-based segmentation model is used to speed up the labelling process for cellular objects.
Created for the Laboratory of Molecular Neuroscience and Dementia, University of Sydney.
MATLAB Release Compatibility
Created with R2021a
Compatible with any release
Platform CompatibilityWindows macOS Linux
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