A research team including many researchers from the CERVO Brain Research Centre and Université Laval just published a new machine learning approach to optimize super-resolution microscopy images. The researchers published this important innovation in the prestigious journal Nature Communications, and made the tool available online for the scientific community by publishing their code.
«We considered making this a commercial product, but the idea of sharing this tool to promote the advancement of knowledge fits more with our values, explains Flavie Lavoie-Cardinal, senior author of the publication. We even offer technical support to those who will use it. »
Learn more about this innovation here:
Pour y voir plus clair dans les cellules
Des chercheurs font appel à l’intelligence artificielle pour améliorer les images de l’infiniment petit
Article by Jean Hamann in Le Fil de l’Université Laval
The original research article is available in open access in Nature Communications:
A machine learning approach for online automated optimization of super-resolution optical microscopy
Audrey Durand, Theresa Wiesner, Marc-André Gardner, Louis-Émile Robitaille, Anthony Bilodeau, Christian Gagné, Paul De Koninck & Flavie Lavoie-Cardinal
Nature Communications, volume 9, Article number: 5247 (2018)
