Rapidly Generating Interactive UIs and Objects | The Python Exchange April 2023
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Title: "DLSIA, or Deep Learning for Scientific Image Analysis"
Abstract: Talley presented the motivation and general design of magicgui, a python library that facilitates the autogeneration of GUIs based on type annotations. In its high level interface, magicgui attempts to solve this by mapping python type annotations to widgets (for those familiar with ipywidgets, the goal is similar to `ipywidgets.interact`).
At a lower level, magicgui provides a widget abstraction on top of GUI frameworks like Qt, or ipywidgets; this allows magicgui code to (mostly) work in both a jupyter-notebook environment, or a Qt-desktop environment (or anything for which a backend UI adapter exists: a textual UI adapter is in the works).
Bio: Talley Lambert has a PhD in neurobiology, but has focused on microscopy and bio-image analysis for the last 10 years. He is a lecturer at Harvard Medical School, and works in a light microscopy core facility where he specializes in advanced light microscopy techniques including light sheet and super-resolution microscopies. He is a core developer on the napari project, and contributes to many open source Python projects.
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