Author

Albert Michaud-Gagnon

Centre de recherche CERVO

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Bioinformatics· 2

Signature Assays, Organisms & Methods

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Assay:imaging· 2 Research Focus:benchmarking· 1 Approach:contrastive learning· 1 Approach:simulation· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Anthony BilodeauiD· 2 shared Flavie Lavoie‐CardinaliD· 2 shared Andréanne DeschênesiD· 1 shared Antoine OllieriD· 1 shared Audrey DurandiD· 1 shared Benoit Turcotte· 1 shared Christian GagnéiD· 1 shared Jeffrey-Gabriel Steavan SantiagueiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersBioinformatics

Anthony BilodeauORCID

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2 papers

Recent·Most cited

Enhancing STED Microscopy via Fluorescence Lifetime Unmixing and Filtering in Two-Species SPLIT-STED

Andréanne Deschênes, Antoine Ollier, Marie Lafontaine, Albert Michaud-Gagnon, Jeffrey-Gabriel Steavan Santiague, Anthony Bilodeau, Christian Gagné, Paul De Koninck, Flavie Lavoie‐Cardinal

This paper introduces a method to improve STED microscopy by using fluorescence lifetime unmixing and filtering to enhance resolution and accuracy in two-species imaging.

Methods in microscopy · Dec 15, 2025Peer-reviewedBioinformatics

Development of AI-assisted microscopy frameworks through realistic simulation in pySTED

Anthony Bilodeau, Albert Michaud-Gagnon, Julia Chabbert, Benoit Turcotte, Jörn Heine, Audrey Durand, Flavie Lavoie‐Cardinal

This paper develops a simulation platform, pySTED, to aid in creating AI-assisted super-resolution microscopy techniques by generating realistic data for training and testing AI models.

Nature Machine Intelligence · Sep 26, 2024Peer-reviewedBioinformatics