3D flow field estimation and assessment for live cell fluorescence microscopy | Zendy

Sandeep Manandhar | Zendy; Patrick Bouthémy | Zendy; Erik S. Welf | Zendy; Gaudenz Danuser | Zendy; Philippe Roudot | Zendy; Charles Kervrann | Zendy

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3D flow field estimation and assessment for live cell fluorescence microscopy

Author(s) -

Sandeep Manandhar,

Patrick Bouthémy,

Erik S. Welf,

Gaudenz Danuser,

Philippe Roudot,

Charles Kervrann

Publication year - 2019

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/btz780

Subject(s) - computer science , visualization , optical flow , artificial intelligence , computer vision , ground truth , light sheet fluorescence microscopy , data mining , motion capture , range (aeronautics) , similarity (geometry) , motion (physics) , microscopy , image (mathematics) , physics , materials science , composite material , scanning confocal electron microscopy , optics

The revolution in light sheet microscopy enables the concurrent observation of thousands of dynamic processes, from single molecules to cellular organelles, with high spatiotemporal resolution. However, challenges in the interpretation of multidimensional data requires the fully automatic measurement of those motions to link local processes to cellular functions. This includes the design and the implementation of image processing pipelines able to deal with diverse motion types, and 3D visualization tools adapted to the human visual system.

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