Minh-Son Phan has a background in computer science with specialities in image analysis and computational geometry. He finished his PhD at ICUBE, University of Strasbourg for the studies of 2D & 3D tomographic reconstruction. He then joined LOB, Ecole Polytechnique where he worked in quantitative image analysis from largescale multicolor image volume of mouse brain cortex. He is also the developer of GeNePy3D-a quantitative geometry python toolbox for large scale bioimaging. He is now the research engineer at Institut Pasteur Paris, jointly working in the Image Analysis Hub and the Dynamics of Developmental Decisions in Drosophila Unit. He is fascinated by using machine learning and deep learning to address various issues in image analysis.
About
Courses
Bioinformatics program for PhD students 2022-2023
This training program in statistics, bioinformatics and image analysis begins with a mandatory common core during which we will present all the tracks, and follow short courses on computer science, reproducible research, experimental design […]
2022-10-21 09:30:00
2023-06-30 18:00:00
Europe/Paris
Bioinformatics program for PhD students 2022-2023
This training program in statistics, bioinformatics and image analysis begins with a mandatory common core during which we will present all the tracks, and follow short courses on computer science, reproducible research, experimental design […]
Publications
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2022HaloTag-based reporters for sparse labeling and cell tracking., Fly (Austin) 2022 Dec; 16(1): 360-366.
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2022nAdder: A scale-space approach for the 3D analysis of neuronal traces., PLoS Comput Biol 2022 07; 18(7): e1010211.
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2022TrackMate 7: integrating state-of-the-art segmentation algorithms into tracking pipelines., Nat Methods 2022 Jun; (): .
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2020GeNePy3D: a quantitative geometry python toolbox for bioimaging., F1000Res 2020 ; 9(): 1374.