| Literature DB >> 31110187 |
Nicolò Accanto1,2, I-Wen Chen1,2, Emiliano Ronzitti1,2, Clément Molinier1,2, Christophe Tourain1,2, Eirini Papagiakoumou1,2, Valentina Emiliani3,4.
Abstract
In the past 10 years, the use of light has become irreplaceable for the optogenetic study and control of neurons and neural circuits. Optical techniques are however limited by scattering and can only see through a depth of few hundreds µm in living tissues. GRIN lens based micro-endoscopes represent a powerful solution to reach deeper regions. In this work we demonstrate that cutting edge optical methods for the precise photostimulation of multiple neurons in three dimensions can be performed through a GRIN lens. By spatio-temporally shaping a laser beam in the two-photon regime we project several tens of spatially confined targets in a volume of at least 100 × 150 × 300 µm3. We then apply such approach to the optogenetic stimulation of multiple neurons simultaneously in vivo in mice. Our work paves the way for an all-optical investigation of neural circuits in previously inaccessible brain areas.Entities:
Mesh:
Year: 2019 PMID: 31110187 PMCID: PMC6527563 DOI: 10.1038/s41598-019-43933-w
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Schematics of the optical setup used in the experiment, comprising a 10 times beam expander, two SLMs, the diffraction grating (G) for TF, the appropriate lenses (L), the 10X, 0.3 NA air objective and the GRIN lens. For optical characterization the sample was a thin layer of rhodamine that was scanned in z for axial resolution measurements.
Figure 2Spatial resolution of the MTF-CGH spots throughout the FOV of the GRIN lens. (a) Axial profiles (solid curves) and simulations (scattered curve) for a 15 µm holographic spot at the center of the FOV when using the GRIN lens with TF (red), without TF (green) and the 10X objective alone with TF (blue). (b) Position dependent FWHM of one holographic spot displaced along the TF (x) or the perpendicular (y) direction. The data are the average over 6 different repetitions of the same experiment and are given with an error bar calculated as the standard deviation over all the repetitions. (c) Lateral (x-z) view of 28 holographic spots distributed in 3D. (d) In plane (x-y) view of 3 holographic spots at 3 different depths. (e) Comparison of the axial resolutions with TF (28 spots) and without TF (16 spots) as a function of z. For the corresponding plots as a function of x and y see Supplementary Fig. 2.
Figure 3Results obtained using the MTF-MS technique though the GRIN lens. (a) Lateral (x-z) view of 20 spots distributed in 3D when using the first SLM to produce two shapes. (b,c) Projections along the z direction in the case of two (rounds and stars) and one (rounds) shapes produced by the first SLM respectively. (e) Comparison of the axial resolutions for the two cases as a function of z. For similar plots as a function of x and y, see Supplementary Fig. 4.
Figure 4All-optical control through the GRIN lens in mouse V1 in vivo. (a) Upper panels show a case of single-cell activation experiment at the depth of ~110 µm below the brain surface. The red circle, in the average projection profile of 2P image intensity from 2 channels, represents the target cell and the 5 white circles are examples of non-target cells. The corresponding calcium traces are displayed at the right, with red vertical bars denoting the photostimulation epochs. Lower panels show a case of multi-cell activation experiment with 6 target cells (red circles) and 6 examples of non-target cells (white circles) at the depth of ~250 µm. Of note, the consecutive lines of bright pixels in the 2P images are photostimulation artefacts. Calcium signal in imaging frames from ROIs that were affected by stimulation artefacts is not shown. An additional case of in vivo photostimulation showing cellular selectivity is presented in Supplementary Fig. 7. (b) Color lines (except red) indicate activation probability of target and non-target cells in relation to the distance to target cell for 4 FOVs of single-cell activation (left) and 5 FOVs of multi-cell activation (right). Target cells’ activation probabilities are plotted at Distance 0 with jitters for visualization. Legends denote the depth of each FOV. Red triangles with error bars are mean ± s.e.m. Red solid lines represent the exponential fits of activation probability ( as fit; A = 1.06, k = 27.89, adjusted R2 = 0.97 for single-cell activation and A = 0.91, k = 126.10, adjusted R2 = 0.81 for multi-cell activation). The distance between non-target and target cell is distributed in 20-µm bins. For activation probability in single-cell activation as a function of both lateral (x) and vertical (y) directions see Supplementary Fig. 8.