Education and Career Romain Guiet holds an MS in Biological Engineering from Université Blaise Pascal, Clermont-Ferrand (2006), and an MS in Biotechnology from Université Paul Sabatier, Toulouse (2007). He completed his PhD in Immunology and Infectious Diseases in 2011. Since then, he has been an Image Specialist and BioImage Analyst at the Bioimaging and Optics Platform (BIOP) at EPFL, contributing significantly to the field of advanced microscopy. Expertise Romain is skilled in cell biology, organoids, and both live and immunostaining techniques. His expertise in light microscopy spans wide-field, confocal, and super-resolution imaging, including F-techniques. He is also well-versed in image analysis, utilizing tools such as Fiji, QuPath, and Ilastik, alongside programming in Groovy, Python, and ImageJ macro language. Teaching and Leadership An active educator, Romain teaches PhD students at EPFL and served as a NEUBIAS trainer and organizer of Training School, and webinar organizer. He also lectured at institutions across Europe, including I3S in Porto, MIC in Bern, and Helsinki University. As a contributor to the MOOC Image Processing for Life Scientists on EdX, he shares his expertise with a wide audience. Innovation Romain is the creator of coLoc, a board game for teaching colocalization, and biop-desktop, a versioned computer for image analysis. As the President of the Swiss BioImage Analysts' Society (SwissBIAS), he promotes the bioimage analysis community in Switzerland and beyond.
Scientific field: BioImage Analysis
Microscopy background: Image Analysis
Posted by Romain Guiet, on 20 October 2024
The origin There was one thing I was always skeptical about: colocalization analysis. When I started out as a BioImage Analyst, it was one of the first things I had to help users with in the BIOP at EPFL. I started learning more about it (and still continue to do so), tried with my own