Scripts🔬🍸 Home of the ImageJ BAR: A collection of Broadly Applicable Routines for ImageJ
Stars: ✭ 18 (-10%)
ImSwitchImSwitch is a software solution in Python that aims at generalizing microscope control by providing a solution for flexible control of multiple microscope modalities.
Stars: ✭ 43 (+115%)
spiketorchExperiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this project.
Stars: ✭ 83 (+315%)
BrainModelsBrain models implementation with BrainPy
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knipKNIME Image Processing Extension
Stars: ✭ 45 (+125%)
bg-atlasapiA lightweight python module to interact with atlases for systems neuroscience
Stars: ✭ 54 (+170%)
GPimGaussian processes and Bayesian optimization for images and hyperspectral data
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atomaiDeep and Machine Learning for Microscopy
Stars: ✭ 77 (+285%)
LLSpyLattice light-sheet post-processing utility.
Stars: ✭ 19 (-5%)
napari-aicsimageioMultiple file format reading directly into napari using pure Python
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cellfinderAutomated 3D cell detection and registration of whole-brain images
Stars: ✭ 122 (+510%)
OADCollection of tools and scripts useful to automate microscopy workflows in ZEN Blue using Python and Open Application Development tools and AI tools.
Stars: ✭ 90 (+350%)
ome-typesnative Python dataclasses for the OME data model
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imagingbook-commonCommon Java library for digital image processing books by Burger & Burge (OBSOLETE!)
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micromanager-samplesPython samples for Micro-Manager: image acquisition and microscope control system
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CorBinianCorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations
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sciviewsciview is a tool for visualization and interaction with ND image and mesh data
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axondeepsegAxon/Myelin segmentation using Deep Learning
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navisPython 3 library for analysis of neuroanatomical data
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eemRUtilities for pre-processing emission-excitation-matrix (EEM).
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odemisOpen Delmic Microscope Software
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MiM NikonTiConfig and scripts used to run a Nikon Eclipse Ti in the vanNimwegen lab.
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sparse-deconv-pyOfficial Python implementation of the 'Sparse deconvolution'-v0.3.0
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segmentationCode for my master's thesis. Instance segmentation of fluorescence microscopy images with deep learning.
Stars: ✭ 38 (+90%)
picassoA collection of tools for painting super-resolution images
Stars: ✭ 77 (+285%)
brainregAutomated 3D brain registration with support for multiple species and atlases.
Stars: ✭ 73 (+265%)
MorphoLibJCollection of mathematical morphology methods and plugins for ImageJ
Stars: ✭ 84 (+320%)
skeletor3D skeleton extraction from meshes.
Stars: ✭ 115 (+475%)
cucimNo description or website provided.
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cyclopsPrecision current source, with optional optical feedback, for driving LEDs and laser diodes
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MicroscPSF-PyFast and Accurate 3D PSF Computation for Fluorescence Microscopy
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MorphIOA python and C++ library for reading and writing neuronal morphologies
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ColiCoordsSingle-cell fluorescence microscopy data analysis
Stars: ✭ 22 (+10%)
imagingbook-publicImage processing software for textbooks by W. Burger & M. Burge
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ThreeDeconv.jlA convex 3D deconvolution algorithm for low photon count fluorescence imaging
Stars: ✭ 28 (+40%)
python-neuronNeuron class provides LNU, QNU, RBF, MLP, MLP-ELM neurons
Stars: ✭ 38 (+90%)
BoneJ2Plugins for bone image analysis
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opencv-rolling-ballFully Ported to Python from ImageJ's Background Subtractor. Rolling ball and sliding paraboloid background subtraction algorithms.
Stars: ✭ 34 (+70%)
ntnu-somUsing Self-Organizing Maps for Travelling Salesman Problem
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FRETBurstsBurst analysis software for smFRET. **Moved to OpenSMFS organization**
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LandEverything within the Land model (Soil Plant Atmosphere Module, Land Hydrology, etc)
Stars: ✭ 61 (+205%)
DeconvolutionLab2Java (ImageJ/Fiji) software package for 3D deconvolution microscopy
Stars: ✭ 29 (+45%)
simple sim fusion demoSimple demo of structured illumination microscopy image fusion via Richardson-Lucy deconvolution
Stars: ✭ 13 (-35%)
remote refocusA scientific publication, describing a way to improve microscopy. This repository hosts everything you need to reproduce our results. Read the publication here: https://andrewgyork.github.io/remote_refocus/
Stars: ✭ 13 (-35%)
NanoJ-FluidicsManual, source-code and binaries for the NanoJ-Fluidics project
Stars: ✭ 47 (+135%)