diff --git a/README.md b/README.md
index 627a6fb1a432c94b5cf383632c86755067d25a56..d5a60fe4765ab207bc81ad0f31605ba7c441ddde 100644
--- a/README.md
+++ b/README.md
@@ -1,4 +1,5 @@
-# Feature statistics
+### Modeling of local structure with a dictionary of image patches 
+### - applied to the study of Lung ECM proteins
 
 To reproduce the results from our paper (link to come), you will need to clone this repository or download it as a .zip file. Then, download the input_data and results_justDictionaries folders from DTU Data at XX. Place both within the Lung_ECM folder, besides the code folder. Rename 'results_justDictionaries' to 'results' so as to reproduce the exact results from our paper. Under the same DTU Data link you will also find the complete set of results under 'results_complete'.
 
@@ -8,7 +9,10 @@ Code contains:
 
 | File name | Description | Input | Output |
 | --------- | ----------- | ----- | ------ |
-| lung_to_lif.py | Used to transform data acquired with a Leica microscope into a format we can work with | EDIT | input_data/raw | 
+| lung_lif_to_png.py | Transforms Leica microscope format into a png | .lif file pr. sample | input_data/raw | 
+| microscopy_analysis.py | Helper functions 
+| image_preprocessing.py | Equalises contrast across images and channels, and computes max. projections | input_data/raw | input_data/maximum_projections and postprocessed_maxProjs
+
 
 
 nogenerate data_corrected_bis, where each 3D scan is stored as a sequence of .png files under a folder with 'frame' as prefix.