Published April 27, 2022 | Version v1
Journal article Open

Neurophotonic tools for microscopic measurements and manipulation: status report

Creators

  • 1. Ahmed
  • 2. Sapna
  • 3. Taner
  • 4. Srinivasa Rao
  • 5. David A.
  • 6. Joshua
  • 7. Erin M.
  • 8. Robert E.
  • 9. Ichun Anderson
  • 10. Xiaojun
  • 11. Tomáš
  • 12. Irene
  • 13. Massimo
  • 14. Anna
  • 15. Patrick
  • 16. Mirna
  • 17. Valentina
  • 18. Natalie
  • 19. Yeshaiahu
  • 20. Tomás
  • 21. Christopher G. L.
  • 22. Ariel
  • 23. Xue
  • 24. Andrew
  • 25. Elizabeth M.C.
  • 26. Ute
  • 27. Matthew
  • 28. Na
  • 29. Kivilcim
  • 30. Evelyn
  • 31. Lei
  • 32. Tianqi
  • 33. Philipp
  • 34. Rickson C.
  • 35. Evan
  • 36. K.M. Naga Srinivas
  • 37. U. Valentin
  • 38. Yusuke
  • 39. Axel
  • 40. Petra
  • 41. Francesco
  • 42. Citlali
  • 43. Darcy S.
  • 44. Filippo
  • 45. Ferruccio
  • 46. Francesca
  • 47. Bernardo
  • 48. Sanaz
  • 49. Sava
  • 50. Shy
  • 51. Sanaya
  • 52. R. Angus
  • 53. Ruth
  • 54. Spencer
  • 55. Vivek Jay
  • 56. Martin
  • 57. Lin
  • 58. Thomas
  • 59. Antoine
  • 60. Alipasha
  • 61. Sergei A.
  • 62. Flavia
  • 63. Lihong V.
  • 64. Hana
  • 65. Chris
  • 66. Changhuei
  • 67. Mu-Han
  • 68. Gary
  • 69. Ofer
  • 70. Yongxin

Description

Neurophotonics was launched in 2014 coinciding with the launch of the BRAIN Initiative focused on development of technologies for advancement of neuroscience. For the last seven years, Neurophotonics’ agenda has been well aligned with this focus on neurotechnologies featuring new optical methods and tools applicable to brain studies. While the BRAIN Initiative 2.0 is pivoting towards applications of these novel tools in the quest to understand the brain, in this article we review an extensive and diverse toolkit of novel methods to explore brain function that have emerged from the BRAIN Initiative and related large-scale efforts for measurement and manipulation of brain structure and function. Here, we focus on neurophotonic tools mostly applicable to animal studies. A companion article, scheduled to appear later this year, will cover diffuse optical imaging methods applicable to noninvasive human studies. For each domain, we outline the current state-of-the-art of the respective technologies, identify the areas where innovation is needed and provide an outlook for the future directions.

Notes

This report was edited by Anna Devor and Darcy Peterka. Cover design by Kıvılcım Kılıç. A.D. was supported by the U.S. National Institutes of Health (NIH) grants R01MH111359, R01DA050159, and U19NS123717. A.N. was supported by NIH grants R01NS108034, U19NS112959, and U19NS123719. D.A.B. was supported by NIH grant R01NS108472. M.G.H. is currently the ERANet Chair (NCBio) at i3S Porto funded by the European Commission (H2020-WIDESPREAD-2018-2020-6; NCBio; 951923). R.A.S. is a Wellcome Principal Research Fellow (203048, 224499) and his microscopy development is co-funded by the NIH Brain initiative (U01NS113273). Fi.P., and Fe.P. acknowledge funding from the European Research Council under the European Union's Horizon 2020 Research and Innovation Program under Grant Agreement No. 677683. M.D.V. and Fe.P. acknowledge funding from the European Union's Horizon 2020 Research and Innovation Program under Grant Agreement No. 828972. Fi.P., M.D.V., Fe.P, O.Y., V.E., and T.C. acknowledge that this project has received funding from the European Union's Horizon 2020 Research and Innovation Program under Grant Agreement No. 101016787. Fe.P., B.L.S., and M.D.V. were funded by NIH Grant No. 1UF1NS108177-01. O.Y. and V. E. were supported by H2020-RIA (DEEPER 101016787) and the ERC (PrefrontalMap 819496). L.V.W. acknowledges funding support by NIH grants R01 NS102213, U01 NS099717, and U01 EB029823. S.L.S. was supported by NIH grants R01NS091335, R01NS121919 and National Science Foundation (NSF) grant 1934288. R.E.C, and Y.N. were supported by Japan Society for the Promotion of Science (JSPS) KAKENHI grant 19H05633. V.J.S. was supported by NIH grants NS094681, EB029747, and EY031469. S.N.S. acknowledges funding from the NIH Ruth L. Kirschstein National Research Service Award (F31 NS115421). P.R.D. acknowledges funding from the NIH Ruth L. Kirschstein National Research Service Award (F31 NS118949). T.A. and T.L. acknowledge funding from the University of Minnesota Medical School (AIRP) and the National Ataxia Foundation. F.V. was supported by NIH grants R01NS117756 and R01NS121219. U.H. was supported by NIH Brain Initiative grants R01NS120832, U01NS099709, and NSF NeuroNex Technology Hub 1707352. G.Y. was supported by NIH grants R01 GM124038 and R01 NS102586. L. T. was funded by NIH grant R21EY030016. I.C. was supported by European Union's Horizon 2020 Research and Innovation Framework Program under Grant Agreement No. 654148 (Laserlab-Europe); European Union's Horizon 2020 Framework Programme for Research and Innovation under the Specific Grant Agreement No. 785907 (Human Brain Project SGA2) and No. 945539 (Human Brain Project SGA3); General Hospital Corporation Center of the NIH under Award No. U01 MH117023; Italian Ministry for Education in the framework of Euro-Bioimaging Italian Node (ESFRI research infrastructure); "Fondazione CR Firenze" (private foundation). T. Č., H. U., and P. O. were supported by the European Union's H2020-RIA (DEEPER, Grant Agreement No. 101016787), European Research Council (724530), and MEYS (CZ.02.1.01/ 0.0/ 0.0/ 15_003/0000476). S.S. was supported by NIH grants U19NS107464, R01NS109885 and UF1NS107680. V.E and R.S were supported by the European Research Council (ERC-2019-AdG 885090, HOLOVIS). N.J. was supported by NIH grant U01NS118300. A.V. was supported by the National Institute of Neurological Disorders and Stroke of the NIH under Award Nos. 5U01NS103488, 1RF1NS113251, and 1RF1NS110501, and the Kavli Foundation. D. S. P. was supported by NIH grants 5U19NS104649, 5U01NS113273, 9R44MH117430. Y. Z. was supported by NIH Director's New Innovator Award DP2 OD025926-01 and the Kaufman Foundation. A. S. A holds a Career Award at the Scientific Interface from Burroughs Wellcome Fund and acknowledges funding from the Searle Scholar Program and NIH New innovator award 1DP2MH129956. E. M. R. L. was supported by NIH grants R01MH111424 and U01NS094358. E. W. M. acknowledges support from NIH (R01NS098088) and NSF (NeuroNex 1707350).

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Abdelfattah et al. - 2022 - Neurophotonic Tools for Microscopic Measurements a.pdf

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Additional details

Related works

Is identical to
10.1117/1.NPh.9.S1.013001 (DOI)

Funding

MODEM – Multipoint Optical DEvices for Minimally invasive neural circuits interface 677683
European Commission
DEEPER – DEEP BRAIN PHOTONIC TOOLS FOR CELL-TYPE SPECIFIC TARGETING OF NEURAL DISEASES 101016787
European Commission
Controlling the spatial extent of light-based monitoring and manipulation of neural activity in vivo 1UF1NS108177-01
National Institutes of Health
NanoBRIGHT – BRInGing nano-pHoTonics into the brain 828972
European Commission