-
Notifications
You must be signed in to change notification settings - Fork 1
Installation
u-probe can be used in two ways:
- Option 1 – MATLAB (License Required)
- Option 2 – MATLAB Runtime (No License Required)
We recommend using MATLAB 2021a or newer. You can download MATLAB from the Mathworks website. If your institution does not have a license, you can temporarily use a trial version.
📺 Video guide: Watch the YouTube tutorial for Option 1 installation
- For Windows-based machines, install Git for Windows
- Install GitHub Desktop (not available on Linux)
- Using GitHub Desktop, clone the DanuserLab u-probe Repository with GitHub Desktop
Click Current Repository, Add, Clone Repository, and provide URL for DanuserLab u-probe Repository (e.g., https://github.com/DanuserLab/u-probe.git). Select where you will save the data. We recommend that you save it to to the default location for MATLAB, which is often within your Documents folder (e.g., ~/Documents/MATLAB).
MATLAB needs to know where to look for the u-probe software. Thus, you will need to add the repository to the MATLAB path. To do this, open the MATLAB software. In the command window, type the command addpath(genpath('path/to/the/u-probe/repository'))
u-probe can also be run as a standalone executable using the free MATLAB Runtime . This option does not require a MATLAB license.
Download the u-probe standalone executable for your operating system (Windows or Linux), and install the corresponding MATLAB Runtime version.
- Windows: Double-click the application executable (e.g., uProbe.exe).
- Linux: Navigate to the u-Probe standalone folder and run
./uProbe
Lyda Hill Department of Bioinformatics and Cecil H. and Ida Green Center for Systems Biology
University of Texas Southwestern Medical Center
Dallas, TX. 75390
Feedback: [email protected]
- u-probe Package Description
- Dark Current Correction Process Description
- Shade Correction Process Description
- Cropping Shade Corrected Movie Process Description
- Segmentation Process Description
- Background Mask Process Description
- Mask Refinement Process Description
- Background Subtraction Process Description
- Transformation Process Description
- Bleedthrough Correction Process Description
- Ratioing Process Description
- Photobleach Correction Process Description
- Ratio Output Process Description