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Henricks script as Python

Completly reimplmented Lipidxplorer, with adaptation layer to read lipidxplorer1 files

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

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

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

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

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

PDE inference from limited spatio-temporal data

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.

class definitions and methods for kirchhoff graphs

This repository is all about simulating flow driven pruning in biological flow networks.

hyrdrodynamics methods for kirchhoff graphs