Publications by authors named "Benoit Turcotte"
Nat Mach Intell
September 2024
Article Synopsis
- The integration of AI into microscopy greatly improves image acquisition and analysis, particularly in super-resolution microscopy.
- The development of AI-assisted microscopy is hampered by the lack of extensive biological datasets and challenges in standardizing methods across varied samples.
- The pySTED platform provides a realistic simulation environment that aids in training AI models and optimizing microscopy strategies, demonstrating successful application on actual systems without needing extensive adjustments.
Nat Mach Intell
July 2023
Article Synopsis
- Super-resolution fluorescence microscopy is key for studying nanostructures in biological tissues, but it involves a balance of competing factors like resolution and light exposure.
- The task-assisted generative adversarial network (TA-GAN) enhances image resolution and quality by incorporating related tasks like segmentation while processing images from various microscopy techniques.
- By integrating TA-GAN into the microscopy pipeline, it optimizes image acquisition by predicting nanometric details, reducing light exposure, and allowing for better observation of dynamic molecular processes.
