Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.
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.
- histopathology-images
- microscopy
- sliding-windows
- medical-image-analysis
Tools for computational pathology
- machine-learning
- digital-pathology
- computational-pathology
- biomedical-image-processing
Image restoration for fluorescence microscopy
Automated 3D cell detection in very large images
A Python interface to access neuroanatomical atlases
Automated 3D brain registration with support for multiple species and atlases.
Accurate and efficient spot detection for microscopy data
Python package for image-based profiling
- cytominer
- microscopy
- morphological-profiling
- python
Axon/Myelin segmentation using Deep Learning
python functions for simulating optical transfer functions
A foundation model-driven whole slide image-scale cell phenotyping method with QuPath integration Resources
Single-cell fluorescence microscopy data analysis
- microscopy
- fluorescence-microscopy-imaging
Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.
Python library for statistical analysis of mRNA and protein distributions in fluorescent microscopy images