VIA webinar: Explore, annotate and analyse multidimensional images with Napari

This webinar, by Juan Nunez-Iglesias from the Monash eResearch Centre, will describe some of the capabilities of Napari, with a focus on 2D and 3D annotation and analysis. Hosted by Volume Imaging Australia, a special interest group of the Australian Microscopy and Microanalysis Society, and Microscopy Australia.

Napari is a Python library and application to explore, annotate, and analyse multidimensional image data. napari provides a fast 2D or 3D canvas, powered by OpenGL, and sliders to explore additional dimensions in your dataset. The canvas provides layers to overlay both images and derived data (such as segmentations, point detections, vector fields, and more). The user interface gives provides tools to control visualisation parameters and add annotations overlaid on your data, which can then be used for downstream analysis. A plugin ecosystem has developed around the project, providing sophisticated analysis tools.

Bio: 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.