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Repository containing the scripts used in Iglesias-Artola et al 2024. Quantitative imaging of species-specific lipid transport in mammalian cells
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rhaase / ABIA_Prague_2019
Creative Commons Attribution Non Commercial 4.0 InternationalUpdated -
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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dibrov / chromosome_size
MIT LicenseUpdated -
Improving contrast in confocal data by degrading image with model of light scattering
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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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This repository is all about simulating flow driven pruning in biological flow networks.
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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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Veenvliet Lab / Integrated_Molecular-Phenotypic_Profiling_of_Stembryos
BSD 3-Clause "New" or "Revised" LicenseThis is a code-repository for the image-, sequencing and data-analysis performed for the manuscript: Integrated Molecular-Phenotypic Profiling Reveals Tuneable Modulators of Morphological Variation in Stembryos" authored by: Alba Villaronga Luque et al.
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rhaase / int_sys_2020
Creative Commons Attribution Non Commercial 4.0 InternationalUpdated -
Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021
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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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rhaase / lecture_applied_bioimage_analysis
Creative Commons Attribution Non Commercial 4.0 InternationalUpdated