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This software package implements the identification of robust topological defects.
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Huch lab / Image Analysis Pipelines - Mouse liver assembloids model periportal architecture and biliary fibrosis
BSD 3-Clause "New" or "Revised" LicenseThis repository contains the image analysis pipelines for bile canaliculi analysis and mesenchyme counting associated with the paper "Mouse liver assembloids model periportal architecture and biliary fibrosis"
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krishna / Laminin_network
Creative Commons Zero v1.0 UniversalHexagonal 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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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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walker / NNet_simple
BSD 3-Clause "New" or "Revised" LicenseUpdated -
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rhaase / lecture_applied_bioimage_analysis
Creative Commons Attribution Non Commercial 4.0 InternationalUpdated -
Scientific Computing / bioimage_team / stardist_nnet_explore
BSD 3-Clause "New" or "Revised" LicenseUpdated -
This repository contains source codes and notebook demos for trainin STENCIL-NET.
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Mateus_Group / Guanine_crystal_analysis_APOC
BSD 3-Clause "New" or "Revised" LicenseRepository of Code used in the Bachelor Thesis "Guanine crystal segmentation and classification imaged in the eye of zebrafish embryos"
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Huch lab / prior_et_al_2019
MIT LicenseSupplementary Jupyter notebook to our article "Lgr5+ stem/progenitor cells reside at the apex of the embryonic hepatoblast pool"
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krishna / WDeversion_theory
MIT LicenseTheory analysis and code for studying Drosophila wing disc eversion
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walker / cellpose_explore
BSD 3-Clause "New" or "Revised" LicenseExploring cellpose (deep learning) for segmentation in 2D&3D. Including setup for GPU on cluster or workstation
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kramer / cycle-coalescence-algorithm
MIT LicenseThis is a python implementation of the cycle coalescence algorithm as described by Modes et al, 2016.
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PDE inference from limited spatio-temporal data
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