13th July 2020: ‘Computational Methods for Visualization, Simulation, and Restoration Microscopy Data’ – Martin Weigert, EPFL, Lausanne, Switzerland
Duration: 1 hour 15 mins
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| Description: |
Abstract: Modern microscopy modalities produce increasingly large volumetric
image datasets which are difficult to interpret without the help of computational methods. In this talk, I will highlight some of our work that leverages machine learning to tackle general analysis problems such as image restoration and nuclei segmentation. CV: Martin Weigert is a computer scientist whose research focuses on computational optics and machine learning based image reconstruction and segmentation for microscopy. He recently joined EPFL, Switzerland as a group leader. Publication: Content-aware image restoration: pushing the limits of fluorescence microscopy Nature Methods volume 15, pages1090–1097(2018) |
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| Created: | 2020-07-16 11:31 |
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| Collection: | Imaging ONE WORLD |
| Publisher: | University of Cambridge |
| Copyright: | A.J. Sossick |
| Language: | eng (English) |
| Distribution: |
World
(not downloadable)
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| Keywords: | microscopy; |
| Explicit content: | No |
| Aspect Ratio: | 16:9 |
| Screencast: | No |
| Bumper: | UCS Default |
| Trailer: | UCS Default |
| Abstract: | Martin has kindly sent us a PDF from is talk:
https://www.lightmicroscopy.cruk.cam.ac.uk/wp-content/uploads/2020/07/mweigert_one_world_talk.pdf |
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