• Photonics Research
  • Vol. 9, Issue 7, 1300 (2021)
Arutyun Bagramyan1、2、4、*, Loïc Tabourin1、2, Ali Rastqar2, Narges Karimi2, Frédéric Bretzner2、3、5、*, and Tigran Galstian1、6、*
Author Affiliations
  • 1Center for Optics, Photonics and Lasers (COPL), Faculty of Science and Engineering, Department of Physics, Engineering Physics and Optics, Université Laval, Québec, QC G1V 0A6, Canada
  • 2Centre de Recherche du CHU de Québec-Université Laval, CHUL-Neurosciences, Québec, QC G1V 4G2, Canada
  • 3Department of Psychiatry and Neurosciences, Faculty of Medicine, Université Laval, Québec, QC G1V 0A6, Canada
  • 4e-mail: arutyun.bagramyan.1@ulaval.ca
  • 5e-mail: frederic.bretzner.1@ulaval.ca
  • 6e-mail: tigran.galstian@phy.ulaval.ca
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    DOI: 10.1364/PRJ.418154 Cite this Article Set citation alerts
    Arutyun Bagramyan, Loïc Tabourin, Ali Rastqar, Narges Karimi, Frédéric Bretzner, Tigran Galstian. Focus-tunable microscope for imaging small neuronal processes in freely moving animals[J]. Photonics Research, 2021, 9(7): 1300 Copy Citation Text show less

    Abstract

    Miniature single-photon microscopes have been widely used to image neuronal assemblies in the brain of freely moving animals over the last decade. However, these systems have important limitations for imaging in-depth fine neuronal structures. We present a subcellular imaging single-photon device that uses an electrically tunable liquid crystal lens to enable a motion-free depth scan in the search of such structures. Our miniaturized microscope is compact (10 mm×17 mm×12 mm) and lightweight (1.4 g), with a fast acquisition rate (30–50 frames per second), high magnification (8.7×), and high resolution (1.4 μm) that allow imaging of calcium activity of fine neuronal processes in deep brain regions during a wide range of behavioral tasks of freely moving mice.
    Arutyun Bagramyan, Loïc Tabourin, Ali Rastqar, Narges Karimi, Frédéric Bretzner, Tigran Galstian. Focus-tunable microscope for imaging small neuronal processes in freely moving animals[J]. Photonics Research, 2021, 9(7): 1300
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