Light-Field Microscopy for the Optical Imaging of Neuronal Activity: When model-based methods meet data-driven approaches

Understanding how networks of neurons process information is one of the key challenges in modern neuroscience. A necessary step to achieving this goal is to be able to observe the dynamics of large populations of neurons over a large area of the brain. Light-field microscopy (LFM), which uses a type...

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Bibliographic Details
Published in:	IEEE signal processing magazine Vol. 39; no. 2; pp. 58 - 72
Main Authors:	Song, Pingfan, Verinaz-Jadan, Herman, Howe, Carmel L., Foust, Amanda J., Dragotti, Pier Luigi
Format:	Magazine Article
Language:	English
Published:	United States IEEE 01-03-2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Artificial intelligence Computational modeling Imaging Machine learning Microscopy Neurons Neuroscience Optical imaging Optical microscopy Signal processing algorithms Social factors Three-dimensional displays Deep learning Neuroimaging Light-field microscopy model-driven and data-driven approaches
Online Access:	Get full text
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