A Single Sub‐Millimetric Metasurface‐Based Optical Element for Lattice Bessel Beam Excitation Enabling Brain Activity Recordings In Vivo
Source abstract
Abstract
Abstract Bessel beams (BBs) are propagation‐invariant optical fields that retain a narrow central intensity profile over longer propagation lengths than Gaussian beams (GBs). Due to this property, they have been adopted in fluorescence‐based light sheet microscopy (LSM) to obtain 2D longitudinally‐extended light‐sheets. Yet, current approaches for generating BB lattices in LSM focus on regular excitation patterns and involve complex and bulky optics, limiting integration capability and versatility. Here, a flexible method is presented to obtain BB‐arrays with arbitrary geometries by encoding on a single sub‐millimetric surface all the optical transformations required. This method is applied using a single metasurface to encode the generation of a linear array of BBs, avoiding the use of conjugation and focusing optics. With respect to the current strategies, this approach, allowing for the independent design of each beamlet of the array, increases the degrees of freedom while making optimal use of the available light with no rejection, thus facilitating its integration into optical systems. According to this method, we fabricated a metasurface‐based optical element for generating a linear BB‐array of excitation in an LSM configuration and recorded neuronal activity at cellular resolution from the zebrafish larva brain. Thus, the proposed approach greatly extends the BB‐array versatility and the application scenarios.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Metamaterials and Metasurfaces Applications · Photoreceptor and optogenetics research · Orbital Angular Momentum in Optics
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Biomedical Sciences University of Padua Padua 35131 Italy
École Polytechnique Fédérale de Lausanne (EPFL) Lausanne 1015 Switzerland
Padova Neuroscience Center – PNC University of Padua Padua 35131 Italy
References (57)
Show source-provided references
1. 10.1364/AO.42060010.1364/AO.420600 ↗
2. 10.1038/srep4078510.1038/srep40785 ↗
3. 10.1016/j.apsusc.2015.11.07410.1016/j.apsusc.2015.11.074 ↗
4. 10.1364/AO.54.00735810.1364/AO.54.007358 ↗
5. 10.1038/nprot.2014.08710.1038/nprot.2014.087 ↗
6. 10.1038/ncomms164610.1038/ncomms1646 ↗
7. 10.1103/PhysRevLett.58.149910.1103/PhysRevLett.58.1499 ↗
8. 10.1080/001075104200027525910.1080/0010751042000275259 ↗
9. 10.1126/science.110003510.1126/science.1100035 ↗
10. 10.1038/nmeth117110.1038/nmeth1171 ↗
11. 10.1073/pnas.110849410810.1073/pnas.1108494108 ↗
12. 10.1038/nphoton.2014.32310.1038/nphoton.2014.323 ↗
13. 10.1038/s41467-017-01250-810.1038/s41467-017-01250-8 ↗
14. 10.1186/2192-2853-2-710.1186/2192-2853-2-7 ↗
15. 10.1126/science.116249310.1126/science.1162493 ↗
16. 10.1126/science.125799810.1126/science.1257998 ↗
17. 10.1038/s41598-018-35006-110.1038/s41598-018-35006-1 ↗
18. 10.1038/s41592-019-0327-910.1038/s41592-019-0327-9 ↗
19. 10.1364/OE.21.01382410.1364/OE.21.013824 ↗
20. 10.1038/s41578-020-0203-310.1038/s41578-020-0203-3 ↗
21. 10.1515/nanoph-2019-008510.1515/nanoph-2019-0085 ↗
22. 10.1515/nanoph-2020-022710.1515/nanoph-2020-0227 ↗
23. 10.1515/nanoph-2021-060310.1515/nanoph-2021-0603 ↗
24. 10.1515/nanoph-2021-068410.1515/nanoph-2021-0684 ↗
25. 10.1364/OL.13.00007910.1364/OL.13.000079 ↗
26. 10.1364/AO.52.00025610.1364/AO.52.000256 ↗
27. 10.1103/PhysRevA.71.06340610.1103/PhysRevA.71.063406 ↗
28. 10.1038/ncomms806910.1038/ncomms8069 ↗
29. 10.1126/science.aaf664410.1126/science.aaf6644 ↗
30. 10.1038/s41565-017-0052-410.1038/s41565-017-0052-4 ↗
31. 10.1038/s41565-017-0034-610.1038/s41565-017-0034-6 ↗
32. 10.1021/acs.nanolett.7b0313510.1021/acs.nanolett.7b03135 ↗
33. 10.1038/lsa.2017.1710.1038/lsa.2017.17 ↗
34. 10.1364/OL.43.00600510.1364/OL.43.006005 ↗
35. 10.1364/OE.44649710.1364/OE.446497 ↗
36. 10.1016/j.rinp.2020.10303310.1016/j.rinp.2020.103033 ↗
37. 10.1002/adom.20200141410.1002/adom.202001414 ↗
38. 10.1364/OE.27.03740010.1364/OE.27.037400 ↗
39. 10.1038/nphoton.2013.18310.1038/nphoton.2013.183 ↗
40. 10.1016/B978-0-12-818542-1.00021-710.1016/B978-0-12-818542-1.00021-7 ↗
41. 10.1109/JPHOT.2016.256162210.1109/JPHOT.2016.2561622 ↗
42. 10.1364/OE.20.02134110.1364/OE.20.021341 ↗
43. 10.1038/lsa.2016.25910.1038/lsa.2016.259 ↗
44. 10.1364/OE.25.01393310.1364/OE.25.013933 ↗
45. 10.1364/AO.31.00532610.1364/AO.31.005326 ↗
46. 10.1088/1402-4896/ad492110.1088/1402-4896/ad4921 ↗
47. 10.1126/science.aaq139210.1126/science.aaq1392 ↗
48. 10.1364/OE.46251610.1364/OE.462516 ↗
49. Suite2p: beyond 10 000 neurons with standard two‐photon microscopy https://www.biorxiv.org/content/10.11s01/061507v2 (accessed: November 2022).
50. 10.1038/nmat383910.1038/nmat3839 ↗
51. 10.1126/sciadv.ado896410.1126/sciadv.ado8964 ↗
52. 10.1038/s41566-022-01099-410.1038/s41566-022-01099-4 ↗
53. 10.1063/5.015331510.1063/5.0153315 ↗
54. 10.3390/nano1305089010.3390/nano13050890 ↗
55. 10.1038/s41467-019-09247-110.1038/s41467-019-09247-1 ↗
56. 10.1038/s41377-019-0178-210.1038/s41377-019-0178-2 ↗
57. 10.1002/0471142727.mb1420s9210.1002/0471142727.mb1420s92 ↗