PyQT graphical interface for high-throughput cell counting for research
- Download Anaconda and RapID source code
- Dowload Ananconda if not done before
- Dowload and unzip the RapID-cell-counter manually: click the green button writen
code(at the top center of this page) and then clickdownload zipin the dropdown options (or use git clone if experienced)
- Open terminal
- In Windows open Ananconda Navigator desktop app then click on CMD.exe Prompt
- In Linux the terminal can be open directly via CRTL+ALT+T
- In Mac: open terminal by searching
terminalin Spotlight (or Finder). Open the terminal by clicking the terminal app
- In Windows open Ananconda Navigator desktop app then click on CMD.exe Prompt
- In the terminal copy-paste and press enter for the following code
conda create --name RapID -y shapely pandas pyqt scikit-image
For Windows
- Open terminal
- In the terminal, activate conda environment copy-paste and press enter for the following code
conda activate RapID
- Once we activated the conda environment (which contains all the necessary packages to run the code) we can locate the file (the directory where we downloaded and unzipped the package) and enter the directory to be able to run the program. As an example if we unzipped our file in the Downloads directory we can open this directory using the
cdCommand. In Linux and Mac, the dashes are/while in windows we use\
cd Downloads\RapID-cell-counter-master
- Start the software by typing the following code into the terminal and pressing enter
python mainQT5.py
To rerun the program once we closed it, we only have to reopen the terminal. Activate the RapID environment. Use the cd to navigate to the directory of the mainQT5.py file and the execute it using python mainQT5.py. Or run the following lines if the RapID source code is in Downloads:
conda activate RapID
cd Downloads\RapID-cell-counter-master
python mainQT5.py
For Linux and Mac
- Open terminal
- In the terminal, activate conda environment copy-paste and press enter for the following code
conda activate RapID
- Once we activated the conda environment (which contains all the necessary packages to run the code) we can locate the file (the directory where we downloaded and unzipped the package) and enter the directory to be able to run the program. As an example if we unzipped our file in the Downloads directory we can open this directory using the
cdCommand. In Linux and Mac, the dashes are/while in windows we use\
cd Downloads/RapID-cell-counter-master
- Start the software by typing the following code into the terminal and pressing enter
python mainQT5.py
To rerun the program once we closed it, we only have to reopen the terminal. Activate the RapID environment. Use the cd to navigate to the directory of the mainQT5.py file and the execute it using python mainQT5.py. Or run the following lines if the RapID source code is in Downloads:
conda activate RapID
cd Downloads/RapID-cell-counter-master
python mainQT5.py
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