Published July 19, 2022
| Version v1
Journal article
Open
Synplex: In silico modelling of the tumor microenvironment from multiplex immunofluorescence images
Authors/Creators
- 1. Center for Applied Medical Research, University of Navarra
- 2. Center for Applied Medical Research, University of Navarra.
- 3. Department of Pathology, Clinica Universidad de Navarra, Pamplona, Spain
- 4. Carlos
Description
Set of images generated by Synplex, which were used for its validation. For further description of the method check the paper "Synplex: In silico modelling of the tumor microenvironment from multiplex immunofluorescence images". For further description of the code implementation check (https://github.com/djimenezsanchez/Synplex).
The files stored in this repository represents to specific experiments:
- First validation experiment: Simulation of tissue samples from user-defined parameters
- Multiplex_Synthetic_Images.zip: 45 multiplex images simulated from user-defined parameters
- Multiplex_Synthetic_Masks.zip: 45 mask images generated during the simulation process, containing neighborhoods, phenotypes, and graphs on the optimization process
- First proof-of-principle experiment: Use of tumor simulations for augmenting training datasets in AI-based patient prediction systems
- POLE_mutation_Synthetic_Images.zip: 74 multiplex images simulated from real endometrial quantifications. Some patients show the POLE mutation and others the WT version of it.