Automated 3D cell detection in very large images
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Updated
Jun 10, 2024 - Python
Automated 3D cell detection in very large images
napari within the mikro environment
mikro is a python client for the mikro-server environment, that allows you to query and update your microscopy data in a simple and intuitive way
extensions and plugin additions for python-microscopy (PYME)
Open and Affordable Quantitative Imaging Platform
cuCIM - RAPIDS GPU-accelerated image processing library
navigate - open source light-sheet microscope controls
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
Axon/Myelin segmentation using Deep Learning
A package for processing immunofluorescence (IF) microscopy image data.
Read and write Neuroglancer datasets programmatically.
Python package for processing image-based profiling data
A lightweight python module to interact with atlases for systems neuroscience
Visualize, share and annotate your large 3D images online
A collection of tools for painting super-resolution images
Biological Data Science Summer School 20204. Materials for a practical course on live-cell imaging data analysis and creation of plugins for napari.
PyTorch Connectomics: segmentation toolbox for EM connectomics
Scientific analysis of nanoscale materials imaging data
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