Github repository for Non-linear excitation image analysis (digital pathology)
published, September 2025
This is the repository of the IN2SIGHT (GA.964481) project WP4 (“In-vivo validation of IN2SIGHT”).
It contains, at August 2025, two major jupiter codes.
- Code_HE: Analysis_Hematoxylin-Eosin_Clustering.ipynb
- Code_NLM: Analysis_NONLINEAR_Clustering.ipynb
Both files assume that the input data have been obtained by applying QuPath (ver: QuPath-0.5.1) to the image to be classified. We first use Code_HE to build the Binary Features Vectors (BFV) for as many cell types as possible gthat can be found in the tissue. Then, we use the QuPath segmentation tool on a non-linear excitation image and apply Code_NLM to the QuPAth output giving in input also the set of BFV for each of the cell types.
all codes in this repository are licensed under EUPL.
https://interoperable-europe.ec.europa.eu/collection/eupl/documentation-repository
Manuela Raimondi is full professor of Bioengineering at Politecnico di Milano since 2009.
