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PICNIC (Proteins Involved in CoNdensates In Cells) is machine learning-based model that predicts proteins involved in biomolecular condensates.
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Completly reimplmented Lipidxplorer, with adaptation layer to read lipidxplorer1 files
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Repository of Code used in the Bachelor Thesis "Guanine crystal segmentation and classification imaged in the eye of zebrafish embryos"
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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.
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Exploring cellpose (deep learning) for segmentation in 2D&3D. Including setup for GPU on cluster or workstation
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PDE inference from limited spatio-temporal data
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Implementation of 2D unet. Use as base for user projects.
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Image-based pipeline for solving inhomogeneous reaction-diffusion PDEs in real-world porous geometries. Level-set method (multi-CPU) for reconstruction. Sparse grids (multi-GPU) for diffusion simulation. Parallel data structures from OpenFPM.
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This repository contains source codes and notebook demos for trainin STENCIL-NET.
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This repository is all about simulating flow driven pruning in biological flow networks.
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