Work

Reproducible Bio-Image Analysis using Python, Napari, Jupyter and AI

Year: 2025

Type: article

Abstract: In this slide deck we learn how to write reproducible bio-image analysis code in Jupyter notebooks. Goal is not just to have code running elsewhere reproducibly, but also enabling others to understand workflows to enable them reproducing the analysis also in their mind and potentially other tools. Additionally we cover how to generate Jupyter notebooks from Napari and using artificial intelligence, namely bia-bob.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.16793738

Author: Haase, Robert

Institutions: Center for Scalable Data Analytics and Artificial Intelligence, Leipzig University

Language: English

Topic: Cell Image Analysis Techniques

Subfield: Biophysics

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: green

OpenAlex ID: W6893535441

FWCI:

Cites:

Cited by:

Related to: