WEHI Bioinformatics and Computational Biology Special Seminar hosted by Mengbo Li, Jinjin Chen, Kelly Rogers

Dr Juan Nunez-Iglesias

Senior Research Fellow / CZI Imaging Software Fellow, Monash eResearch Centre

Journey the n-th dimension: past, present, and future of napari

 

Davis Auditorium

Join via ZOOM

Including Q&A session

napari is a Python library and standalone application that aims to make exploration, annotation, and analysis of multidimensional image data seamless for both Python and non-Python users alike. napari’s first commit was in 2018, and was first publicly announced in late 2019. Since then, it has become a leading tool for image analysis, particularly for scientists already using the Scientific Python ecosystem. I’ll briefly go over napari’s design philosophy, demonstrate napari’s capabilities, then explain where napari has fallen short of its goals, and what’s on the roadmap for the future. napari remains a community-developed project and I’ll invite attendees to join us in bringing napari’s future closer!

Juan Nunez-Iglesias is a Senior Research Fellow at the Monash eResearch Centre. Juan has been working on image analysis tools and techniques since 2009. After attending the SciPy 2012 conference, he became an active collaborator in the Scientific Python ecosystem, joined the team for the scikit-image analysis library, co-authored the book Elegant SciPy (published by O’Reilly), taught at numerous Scientific Python summer schools, and created widely-used libraries such as skan (skeleton analysis) and napari. Since 2018, he has been supported by a Chan Zuckerberg Imaging Software Fellowship to continue to develop the image analysis software ecosystem in Python.

All welcome!