Sparse decomposition light-field microscopy for high speed imaging of neuronal activity

One of the major challenges in large scale optical imaging of neuronal activity is to simultaneously achieve sufficient temporal and spatial resolution across a large volume. Here, we introduce sparse decomposition light-field microscopy (SDLFM), a computational imaging technique based on light-fiel...

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Bibliographic Details
Main Authors: Yoon, Young-Gyu (Author), Wang, Zeguan (Author), Pak, Nikita (Author), Park, Demian (Author), Dai, Peilun (Author), Kang, Jeong Seuk (Author), Suk, Ho-Jun (Author), Symvoulidis, Panagiotis (Author), Guner-Ataman, Burcu (Author), Wang, Kai (Author), Boyden, Edward (Author)
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Center for Neurobiological Engineering (Contributor), Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor), Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences (Contributor), Massachusetts Institute of Technology. Department of Biological Engineering (Contributor), McGovern Institute for Brain Research at MIT (Contributor), Program in Media Arts and Sciences (Massachusetts Institute of Technology) (Contributor), Koch Institute for Integrative Cancer Research at MIT (Contributor)
Format: Article
Language:English
Published: The Optical Society, 2021-03-29T14:37:35Z.
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