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Computational optics for high-throughput imaging of neural activity.

Yi Xue
Published in: Neurophotonics (2022)
Optical microscopy offers a noninvasive way to image neural activity in the mouse brain. To simultaneously record neural activity across a large population of neurons, optical systems that have high spatiotemporal resolution and can access a large volume are necessary. The throughput of a system, that is, the number of resolvable spots acquired by the system at a given time, is usually limited by optical hardware. To overcome this limitation, computation optics that designs optical hardware and computer software jointly becomes a new approach that achieves micronscale resolution, millimeter-scale field-of-view, and hundreds of hertz imaging speed at the same time. This review article summarizes recent advances in computational optics for high-throughput imaging of neural activity, highlighting technologies for three-dimensional parallelized excitation and detection. Computational optics can substantially accelerate the study of neural circuits with previously unattainable precision and speed.
Keyphrases
  • high resolution
  • high throughput
  • high speed
  • deep learning
  • single cell
  • mass spectrometry
  • spinal cord
  • machine learning
  • optical coherence tomography
  • spinal cord injury
  • data analysis
  • label free