Semi-automated Cell Fluorescence Measurements

Version 0.1.1 (127 KB) by Zeyi Yang
A deep learning-enabled cell fluorescence measurement tool
0.0
(0)
13 Downloads
Updated 8 Oct 2021
View License on GitHub
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.

Cite As

Zeyi Yang (2024). Semi-automated Cell Fluorescence Measurements (https://github.com/where-is-brett/cell-fluorescence-ml/releases/tag/v0.1.1), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2021a
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0.0

0.1.1

See release notes for this release on GitHub: https://github.com/where-is-brett/cell-fluorescence-ml/releases/tag/v0.1.1
To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.