title: Technologies for imaging neural activity in large volumes.
abstract: Neural circuitry has evolved to form distributed networks that act dynamically across large volumes. Conventional microscopy collects data from individual planes and cannot sample circuitry across large volumes at the temporal resolution relevant to neural circuit function and behaviors. Here we review emerging technologies for rapid volume imaging of neural circuitry. We focus on two critical challenges: the inertia of optical systems, which limits image speed, and aberrations, which restrict the image volume. Optical sampling time must be long enough to ensure high-fidelity measurements, but optimized sampling strategies and point-spread function engineering can facilitate rapid volume imaging of neural activity within this constraint. We also discuss new computational strategies for processing and analyzing volume imaging data of increasing size and complexity. Together, optical and computational advances are providing a broader view of neural circuit dynamics and helping elucidate how brain regions work in concert to support behavior.
authors: Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia, USA.
authors: Na
authors: N
authors: Ji
authors: Janelia Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia, USA.
authors: Jeremy
authors: J
authors: Freeman
authors: Department of Cell Biology and Physiology, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.|Neuroscience Center, University of North Carolina School of Medicine, Chapel Hill, North Carolina, USA.|Carolina Institute for Developmental Disabilities, University of North Carolina School of Medicine, Chapel Hill, North Carolina.
authors: Spencer L
authors: SL
authors: Smith
mesh_terms: D000818:Animals; D001921:Brain / Q000166:cytology* / Q000502:physiology*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D036641:Microscopy, Fluorescence, Multiphoton / Q000379:methods* / Q000639:trends; D009415:Nerve Net / Q000166:cytology / Q000502:physiology; D009474:Neurons / Q000502:physiology*; D061848:Optical Imaging / Q000379:methods* / Q000639:trends