Name: Francesco Padovani
Type: User
Company: Helmholz Zentrum Munich
Bio: Creator of the Bioimage analysis tool Cell-ACDC @SchmollerLab. Postdoc in cell biology, Engineer by training
Twitter: frank_pado
Location: Munich, Germany
Blog: https://github.com/SchmollerLab/Cell_ACDC
Francesco Padovani's Projects
Annotated data.
A Python GUI-based framework for segmentation, tracking and cell cycle annotations of microscopy data
a generalist algorithm for cellular segmentation
Python package to quantify chromatin reorganizaiton in C. Elegans upon starvation
Python libraries for loading, running and packaging bioimage.io models
An efficient deep learning model for single-cell segmentation and tracking of time-lapse microscopy images
My GitHub profile repository
Episcanpy: Epigenomics Single Cell Analysis in Python
Fast Segment Anything
napari: a fast, interactive, multi-dimensional image viewer for python
Cell-ACDC implementation of ncolor used by omnipose
Omnipose: a high-precision solution for morphology-independent cell segmentation
Python implementation of pomBseen
Fast data visualization and GUI tools for scientific / engineering applications
3D U-Net model for volumetric semantic segmentation
PyQt/PySide Widgets Modern User Interface
Tutorial for read the docs
Image processing in Python
Specification for the bioimage.io model description file.
Accurate and efficient spot detection for microscopy data
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
StarDist - Object Detection with Star-convex Shapes
TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement
An interactive tool for segmenting yeast cells using deep learning.