Update Readme.md

Tutorial ImageStream/Readme.md

@@ -2,18 +2,20 @@ This tutorial shows how to convert .cif files from ImageStream to .rtdc files an
 how to use AIDeveloper and YouLabel to create a dataset and train a CNN model.
 Here are the steps:
 
-1. Install Java and Python environment for converting cif files (see [below instructions](#install-java-and-python-environment))
-2. Download [YouLabel](https://github.com/maikherbig/YouLabel/releases)
-3. Download [AIDeveloper](https://github.com/maikherbig/AIDeveloper/releases) and install update (see video)
-4. Use a [Python script](https://github.com/maikherbig/AIDeveloper/blob/master/Tutorial%20ImageStream/cif_to_rtdc_v06.py) to convert .cif to .rtdc (see video)
+1. Install Java (see [below instructions](#install-java))
+2. Install Python environment for converting cif files (see [below instructions](#install-python-environment))
+3. Download [YouLabel](https://github.com/maikherbig/YouLabel/releases)
+4. Download [AIDeveloper](https://github.com/maikherbig/AIDeveloper/releases) and install update (see video)
+5. Use a [Python script](https://github.com/maikherbig/AIDeveloper/blob/master/Tutorial%20ImageStream/cif_to_rtdc_v06.py) to convert .cif to .rtdc (see video)
 6. Annotate data using [YouLabel](https://github.com/maikherbig/YouLabel/releases) (see video)
 7. Use AIDeveloper to train CNN using Multi-Channel information (see video)
 8. Use AIDeveloper to apply model to new data (see video)
 9. Filter the data using probabilities, returned by the model (see video)
 
 
-# Install Java and Python environment   
+# Install Java   
 First, install Java development kit (JDK). Windows installers can be obtained [on this website](https://www.oracle.com/java/technologies/downloads/#jdk18-windows), or via this [download link](https://download.oracle.com/java/18/latest/jdk-18_windows-x64_bin.exe).  
+# Install Python environment  
 Next, a Python distribution is required. I like to work with [miniconda](https://docs.conda.io/en/latest/miniconda.html). 
 Using conda, create a Python environment using following commands:
 ```