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Hi there 👋

I am Francesco Padovani and I'm the creator of the Bioimage Analysis tool Cell-ACDC. I'm a Postdoc in the Schmoller Lab interested in making AI accessible to everyone through user-friendly GUIs. Feel free to contact me with any questions or feedback about our tools!

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Francesco Padovani's Projects

cell_acdc icon cell_acdc

A Python GUI-based framework for segmentation, tracking and cell cycle annotations of microscopy data

chromrings icon chromrings

Python package to quantify chromatin reorganizaiton in C. Elegans upon starvation

deepsea icon deepsea

An efficient deep learning model for single-cell segmentation and tracking of time-lapse microscopy images

episcanpy icon episcanpy

Episcanpy: Epigenomics Single Cell Analysis in Python

napari icon napari

napari: a fast, interactive, multi-dimensional image viewer for python

ncolor-acdc icon ncolor-acdc

Cell-ACDC implementation of ncolor used by omnipose

omnipose-acdc icon omnipose-acdc

Omnipose: a high-precision solution for morphology-independent cell segmentation

pyqtgraph icon pyqtgraph

Fast data visualization and GUI tools for scientific / engineering applications

qtmodern icon qtmodern

PyQt/PySide Widgets Modern User Interface

spotiflow icon spotiflow

Accurate and efficient spot detection for microscopy data

staged-recipes icon staged-recipes

A place to submit conda recipes before they become fully fledged conda-forge feedstocks

stardist icon stardist

StarDist - Object Detection with Star-convex Shapes

tapir icon tapir

TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement

yeaz icon yeaz

An interactive tool for segmenting yeast cells using deep learning.

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