Imaging science and computational microscopy are rapidly advancing, driven by novel interdisciplinary approaches involving deep learning algorithms. However, the increasing complexity and cost of these cutting-edge imaging systems and algorithms often make them inaccessible for non-experts, low-resource settings, and teaching applications. To address this challenge, we would like to organize a one-day workshop on open-source microscopy and AI to bring together the smart-microscopy community.

The workshop will showcase a full pipeline of open-source solutions for optical imaging, from hardware to computational reconstruction and deep learning-based analysis. It will provide hands-on experience for participants to assemble an open microscope (OpenSIM, OpenUC2), perform reconstructions (Pyxu), and analyze images (DeepImageJ). It aims to empower researchers and teachers to take full control of their imaging pipeline and iterate rapidly on new solutions. Beyond this event, the project seeks to drive a broader and lasting impact on the community. Educational resources such as Jupyter notebooks and hardware kits will be developed and made publicly available to support teaching at EPFL and beyond.

By showcasing a comprehensive open-source ecosystem for microscopy, this initiative aims at making state-of-the-art imaging technologies more accessible and further catalyze the growth of an open, interdisciplinary microscopy community.