Roadmap on Neurophotonics

Yong Ku Cho, Guoan Zheng, George J. Augustine, Daniel Hochbaum, Adam Cohen, Thomas Knopfel, Ferruccio Pisanello, Francesco S. Pavone, Ivo Micha Vellekoop, Martin J. Booth, Song Hu, Jiang Zhu, Zhongping Chen, Yoko Hoshi

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15 Citations (Scopus)
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Abstract

Mechanistic understanding of how the brain gives rise to complex behavioral and cognitive functions is one of science's grand challenges. The technical challenges that we face as we attempt to gain a systems-level understanding of the brain are manifold. The brain's structural complexity requires us to push the limit of imaging resolution and depth, while being able to cover large areas, resulting in enormous data acquisition and processing needs. Furthermore, it is necessary to detect functional activities and 'map' them onto the structural features. The functional activity occurs at multiple levels, using electrical and chemical signals. Certain electrical signals are only decipherable with sub-millisecond timescale resolution, while other modes of signals occur in minutes to hours. For these reasons, there is a wide consensus that new tools are necessary to undertake this daunting task. Optical techniques, due to their versatile and scalable nature, have great potentials to answer these challenges. Optical microscopy can now image beyond the diffraction limit, record multiple types of brain activity, and trace structural features across large areas of tissue. Genetically encoded molecular tools opened doors to controlling and detecting neural activity using light in specific cell types within the intact brain. Novel sample preparation methods that reduce light scattering have been developed, allowing whole brain imaging in rodent models. Adaptive optical methods have the potential to resolve images from deep brain regions. In this roadmap article, we showcase a few major advances in this area, survey the current challenges, and identify potential future needs that may be used as a guideline for the next steps to be taken.
Original languageEnglish
Article number093007
Pages (from-to)093007-
JournalJournal of optics
Volume18
Issue number9
DOIs
Publication statusPublished - 2016

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brain
Brain
Imaging techniques
rodents
Light scattering
data acquisition
Optical microscopy
Data acquisition
light scattering
Diffraction
optics
Tissue
microscopy
preparation
cells
diffraction

Keywords

  • METIS-317776
  • IR-101196

Cite this

Cho, Y. K., Zheng, G., Augustine, G. J., Hochbaum, D., Cohen, A., Knopfel, T., ... Hoshi, Y. (2016). Roadmap on Neurophotonics. Journal of optics, 18(9), 093007-. [093007]. https://doi.org/10.1088/2040-8978/18/9/093007
Cho, Yong Ku ; Zheng, Guoan ; Augustine, George J. ; Hochbaum, Daniel ; Cohen, Adam ; Knopfel, Thomas ; Pisanello, Ferruccio ; Pavone, Francesco S. ; Vellekoop, Ivo Micha ; Booth, Martin J. ; Hu, Song ; Zhu, Jiang ; Chen, Zhongping ; Hoshi, Yoko. / Roadmap on Neurophotonics. In: Journal of optics. 2016 ; Vol. 18, No. 9. pp. 093007-.
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Cho, YK, Zheng, G, Augustine, GJ, Hochbaum, D, Cohen, A, Knopfel, T, Pisanello, F, Pavone, FS, Vellekoop, IM, Booth, MJ, Hu, S, Zhu, J, Chen, Z & Hoshi, Y 2016, 'Roadmap on Neurophotonics', Journal of optics, vol. 18, no. 9, 093007, pp. 093007-. https://doi.org/10.1088/2040-8978/18/9/093007

Roadmap on Neurophotonics. / Cho, Yong Ku; Zheng, Guoan; Augustine, George J.; Hochbaum, Daniel; Cohen, Adam; Knopfel, Thomas; Pisanello, Ferruccio; Pavone, Francesco S.; Vellekoop, Ivo Micha; Booth, Martin J.; Hu, Song; Zhu, Jiang; Chen, Zhongping; Hoshi, Yoko.

In: Journal of optics, Vol. 18, No. 9, 093007, 2016, p. 093007-.

Research output: Contribution to journalArticleAcademicpeer-review

TY - JOUR

T1 - Roadmap on Neurophotonics

AU - Cho, Yong Ku

AU - Zheng, Guoan

AU - Augustine, George J.

AU - Hochbaum, Daniel

AU - Cohen, Adam

AU - Knopfel, Thomas

AU - Pisanello, Ferruccio

AU - Pavone, Francesco S.

AU - Vellekoop, Ivo Micha

AU - Booth, Martin J.

AU - Hu, Song

AU - Zhu, Jiang

AU - Chen, Zhongping

AU - Hoshi, Yoko

N1 - Open access

PY - 2016

Y1 - 2016

N2 - Mechanistic understanding of how the brain gives rise to complex behavioral and cognitive functions is one of science's grand challenges. The technical challenges that we face as we attempt to gain a systems-level understanding of the brain are manifold. The brain's structural complexity requires us to push the limit of imaging resolution and depth, while being able to cover large areas, resulting in enormous data acquisition and processing needs. Furthermore, it is necessary to detect functional activities and 'map' them onto the structural features. The functional activity occurs at multiple levels, using electrical and chemical signals. Certain electrical signals are only decipherable with sub-millisecond timescale resolution, while other modes of signals occur in minutes to hours. For these reasons, there is a wide consensus that new tools are necessary to undertake this daunting task. Optical techniques, due to their versatile and scalable nature, have great potentials to answer these challenges. Optical microscopy can now image beyond the diffraction limit, record multiple types of brain activity, and trace structural features across large areas of tissue. Genetically encoded molecular tools opened doors to controlling and detecting neural activity using light in specific cell types within the intact brain. Novel sample preparation methods that reduce light scattering have been developed, allowing whole brain imaging in rodent models. Adaptive optical methods have the potential to resolve images from deep brain regions. In this roadmap article, we showcase a few major advances in this area, survey the current challenges, and identify potential future needs that may be used as a guideline for the next steps to be taken.

AB - Mechanistic understanding of how the brain gives rise to complex behavioral and cognitive functions is one of science's grand challenges. The technical challenges that we face as we attempt to gain a systems-level understanding of the brain are manifold. The brain's structural complexity requires us to push the limit of imaging resolution and depth, while being able to cover large areas, resulting in enormous data acquisition and processing needs. Furthermore, it is necessary to detect functional activities and 'map' them onto the structural features. The functional activity occurs at multiple levels, using electrical and chemical signals. Certain electrical signals are only decipherable with sub-millisecond timescale resolution, while other modes of signals occur in minutes to hours. For these reasons, there is a wide consensus that new tools are necessary to undertake this daunting task. Optical techniques, due to their versatile and scalable nature, have great potentials to answer these challenges. Optical microscopy can now image beyond the diffraction limit, record multiple types of brain activity, and trace structural features across large areas of tissue. Genetically encoded molecular tools opened doors to controlling and detecting neural activity using light in specific cell types within the intact brain. Novel sample preparation methods that reduce light scattering have been developed, allowing whole brain imaging in rodent models. Adaptive optical methods have the potential to resolve images from deep brain regions. In this roadmap article, we showcase a few major advances in this area, survey the current challenges, and identify potential future needs that may be used as a guideline for the next steps to be taken.

KW - METIS-317776

KW - IR-101196

U2 - 10.1088/2040-8978/18/9/093007

DO - 10.1088/2040-8978/18/9/093007

M3 - Article

VL - 18

SP - 093007-

JO - Journal of optics

JF - Journal of optics

SN - 2040-8978

IS - 9

M1 - 093007

ER -

Cho YK, Zheng G, Augustine GJ, Hochbaum D, Cohen A, Knopfel T et al. Roadmap on Neurophotonics. Journal of optics. 2016;18(9):093007-. 093007. https://doi.org/10.1088/2040-8978/18/9/093007