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Henricks script as Python

Completly reimplmented Lipidxplorer, with adaptation layer to read lipidxplorer1 files

This repository contains source codes and notebook demos for trainin STENCIL-NET.

Implementation of 2D unet. Use as base for user projects.

Exploring cellpose (deep learning) for segmentation in 2D&3D. Including setup for GPU on cluster or workstation

This is a python implementation of the cycle coalescence algorithm as described by Modes et al, 2016.

private repo with testing jupyter notebooks

Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021

Hexagonal spring network with pores are stretched. The resulting stress profile is analyzed. The aim is to verify the hypothesis that in the Zebrafish optic cup, ECM with more pores are under more stress than ECM with less pores.

PDE inference from limited spatio-temporal data