napari

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

napari-annotation-project

Create projects in napari to annotate series of images and export annotations

napari-dask-example

notebook demonstrating napari with dask-delayed processing

napari-feature-classifier

napari-labfill

Napari plugin for creating labels using floodfill.

napari-manual-split-and-merge-labels

napari-metroid

This napari plugin creates several regions of interest of similar area over cells in a fluorescence video (2D+time). It then gets ROIs means over time and performs signal denoising: fixes photobleaching and separates signal from noise by means of blind source separation (with or without wavelet filtering).

napari_demo

napari_zeiss

Use Napari Viewer to display CZI images

naparidrawingboard

Drawing board for writing equations and saving them as tif for Deep Learning book of Ian Goodfellow

neubias-porto2019

Hands-on Python: Plotting and Data Analysis

neuralnetjs

A javascript based network running in your browser

nnunet

notes

Notes On Using Data Science & Artificial Intelligence To Fight For Something That Matters.

oad

Collection of tools and scripts useful to automate microscopy workflows in ZEN Blue using Python and Open Application Development tools.

object-tracking-using-cnn-and-rnn

Object Tracking using CNN and RNN in Tensorflow

objectdetectionyolo

oneat

Copy of code

ont

ONeat Training

opa

Oneat Prediction and Analysis

plaidml

PlaidML is a framework for making deep learning work everywhere.

poissonnoisegenerator

practiseclij

Operating on images using GPU

presentations

Git based markdown presentations using yaml and md

pssr

Deep Learning-Based Point-Scanning Super-Resolution (PSSR)

pydecon

Image deconvolution algorithms in python

pyimage

Simple Image processing tasks that are better done in Python than in Java/Fiji

pyimagej

Use ImageJ from Python

pyinotify

An efficient and elegant inotify (Linux filesystem activity monitor) library for Python. Python 2 and 3 compatible.

pylustrator

Visualisations of data are at the core of every publication of scientific research results. They have to be as clear as possible to facilitate the communication of research. As data can have different formats and shapes, the visualisations often have to be adapted to reflect the data as well as possible. We developed Pylustrator, an interface to directly edit python generated matplotlib graphs to finalize them for publication. Therefore, subplots can be resized and dragged around by the mouse, text and annotations can be added. The changes can be saved to the initial plot file as python code.