### How to use these files ###

So, you have two-channel fluorescence images of cardiomyocytes and don't know what to with them? You're in luck, because I have just the right project for you: 
See if you can find subpopulations of cardiomyocytes in your unlabeled data.

Here's how you do it.

Install CellProfiler (https://cellprofiler.org/). Make sure to install version 3 or up, otherwise no 3D analysis, no party.
Run CellProfiler and import one of the pipelines.
Analyze your images.
Run the python scripts in the following order:
1. prepare_data.py (cleans up all feature tables and merges them into one)
2. preprocessing.py (applies preprocessing to the data)
3. clustering.py (clusters the data)
4. AdaBoost.py, GradientBoosting.py or RF.py (applies the specific classsifier to the data)

Make sure to use the correct versions for your data! 2D specific scripts and pipelines are denoted with a "2D_", the rest is for 3D.