Python Imaging Library (fork)
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Python Imaging Library (fork)
[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
Automated 3D cell detection in very large images
Automated 3D brain registration with support for multiple species and atlases.
Nellie: Automated organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopy
Gaussian processes and Bayesian optimization for images and hyperspectral data
HistoClean is a tool for the preprocessing and augmentation of images used in deep learning models. This easy to use application brings together the most popular image processing packages from across the python universe, meaning no more looking at documentation! HistoClean provides real time feedback to augmentations and preprocessing options. This allows users to evaluate their steps before implementation.
Lattice light-sheet post-processing utility.
An interactive image processing program for biologists written in Python.
Accurate segmentation of bacterial microscope images using deep learning synthetically generated image data.
A python package to analyze the matrix fiber orientation and intensity around cells in fiber matrices (as a proxy for cellular forces).
Panoptic segmentation algorithms for 2D and 3D electron microscopy images