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Award Abstract # 1707287
NeuroNex Technology Hub: Nemonic: Next generation multiphoton neuroimaging consortium

NSF Org: DBI
Division of Biological Infrastructure
Recipient: UNIVERSITY OF NORTH CAROLINA AT CHAPEL HILL
Initial Amendment Date: July 31, 2017
Latest Amendment Date: September 19, 2018
Award Number: 1707287
Award Instrument: Cooperative Agreement
Program Manager: Edda Thiels
ethiels@nsf.gov
 (703)292-8167
DBI
 Division of Biological Infrastructure
BIO
 Directorate for Biological Sciences
Start Date: October 1, 2017
End Date: June 30, 2019 (Estimated)
Total Intended Award Amount: $3,540,000.00
Total Awarded Amount to Date: $2,620,761.00
Funds Obligated to Date: FY 2017 = $1,469,982.00
FY 2018 = $0.00
History of Investigator:
  • Spencer Smith (Principal Investigator)
    sls@ucsb.edu
  • Richard Weinberg (Co-Principal Investigator)
Recipient Sponsored Research Office: University of North Carolina at Chapel Hill
104 AIRPORT DR STE 2200
CHAPEL HILL
NC  US  27599-5023
(919)966-3411
Sponsor Congressional District: 04
Primary Place of Performance: The University of North Carolina at Chapel Hill
104 Airport Dr. Ste 2200
Chapel Hill
NC  US  27599-1350
Primary Place of Performance
Congressional District:
04
Unique Entity Identifier (UEI): D3LHU66KBLD5
Parent UEI: D3LHU66KBLD5
NSF Program(s): Cross-BIO Activities
Primary Program Source: 01001718DB NSF RESEARCH & RELATED ACTIVIT
01001819DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 1228, 8091, 9178, 9179
Program Element Code(s): 727500
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.074

ABSTRACT

Multiphoton neuroimaging is a powerful approach for measuring neural activity in the brain, offering subcellular resolution of thousands or more neurons at time. However, current technology has technical limitations that restrict what experiments are possible. Therefore, this project will create new technology through a NeuroNex neurotechnology hub, called Nemonic (NExt generation Multiphoton NeuroImaging Consortium). The Nemonic project has three parts. First, the development component will create new systems in a series of Case Studies to enable currently impossible neuroscience experiments. Second, the dissemination component will spread this technology broadly to other neuroscience labs through open source resources, workshops, and industry partnerships. Third, the advancement component will push the fundamental technology of multiphoton neuroimaging into the next frontier. Two specific technologies will be developed: miniaturized photonic systems for multiphoton neuroimaging; and super-resolution imaging to image submicron structures. Also, a series of meetings will foster novel collaborations to more rapidly advance engineering technologies that are relevant to multiphoton neuroimaging in the future. Technology developed in the Nemonic project will also be relevant to manufacturing, 3D printing, and photonics. This work will also increase partnerships between academia and industry, enhance STEM training, and recruit and support the scientific training and careers of women and URM scientists.

The Case Studies will develop new instrumentation for large field-of-view two- photon and three-photon imaging, scalable temporal multiplexing, and integrated behavior. This technology will be developed for compatibility with an array of model systems. The focus will be on calcium and glutamate imaging, in cell bodies and processes, and other fluorescent indicators can be employed. The workshops will cover optical design, fabrication, assembly, and use, for an audience of neuroscientists and engineers. One advancement project will develop high peak power ultrafast lasers with transform limited pulses, with integrated, beam conditioning, beam steering, focusing, and detection systems. The other advancement project will develop super-resolution multiphoton imaging using spatial frequency modulation, adaptive optics, and novel pulse conditioning. Together, this work will advance multiphoton neuroimaging and a suite of related technology, through research, enhanced training, and industry partnerships. This NeuroTechnology Hub award is co-funded by the Division of Emerging Frontiers within the Directorate for Biological Sciences as part of the BRAIN Initiative and NSF's Understanding the Brain activities.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 37)
Abdelfattah, Ahmed and Allu, Srinivasa Rao and Campbell, Robert E. and Cheng, Xiaojun and Cimár, Tomá and Costantini, Irene and Emiliani, Valentina and Fomin-Thunemann, Natalie and Gilad, Ariel and Fernández Alfonso, Tomás and Ferri, Christopher G. and "Neurophotonic Tools for Microscopic Measurements and Manipulation: Status Report" Neurophotonics , v.9 , 2022 https://doi.org/10.1117/1.NPh.9.S1.013001 Citation Details
Allende_Motz, Alyssa_M and Czerski, John and Adams, Daniel_E and Durfee, Charles and Bartels, Randy and Field, Jeff and Hoy, Christopher_L and Squier, Jeff "Two-dimensional random access multiphoton spatial frequency modulated imaging" Optics Express , v.28 , 2020 https://doi.org/10.1364/OE.378460 Citation Details
Allende Motz, Alyssa M. and Durfee, Charles G. and Squier, Jeff A. and Adams, Daniel E. "Spectral Phase and Amplitude Retrieval and Compensation for Random Access Microscopy" OSA Technical Digest (Optical Society of America, 2019) , 2019 10.1364/CLEO_AT.2019.AM2I.4 Citation Details
Allende Motz, Alyssa M. and Squier, Jeff A. and Durfee, Charles G. and Adams, Daniel E. "Spectral phase and amplitude retrieval and compensation technique for measurement of pulses" Optics Letters , v.44 , 2019 https://doi.org/10.1364/OL.44.002085 Citation Details
Bartels, Randy A. and Murray, Gabe and Field, Jeff and Squier, Jeff "Super-Resolution Imaging by Computationally Fusing Quantum and Classical Optical Information" Intelligent Computing , v.2022 , 2022 https://doi.org/10.34133/icomputing.0003 Citation Details
Cho, Shinho and Roy, Arani and Liu, Chao J. and Idiyatullin, Djaudat and Zhu, Wei and Zhang, Yi and Zhu, Xiao-Hong and O'Herron, Phillip and Leikvoll, Austin and Chen, Wei and Kara, Prakash and Uurbil, Kâmil "Cortical layer-specific differences in stimulus selectivity revealed with high-field fMRI and single-vessel resolution optical imaging of the primary visual cortex" NeuroImage , v.251 , 2022 https://doi.org/10.1016/j.neuroimage.2022.118978 Citation Details
Clough, Mitchell and Chen, Ichun Anderson and Park, Seong-Wook and Ahrens, Allison M. and Stirman, Jeffrey N. and Smith, Spencer L. and Chen, Jerry L. "Flexible simultaneous mesoscale two-photon imaging of neural activity at high speeds" Nature Communications , v.12 , 2021 https://doi.org/10.1038/s41467-021-26737-3 Citation Details
Clough, Mitchell L. and Chen, Jerry "Cellular resolution imaging of neuronal activity across space and time in the mammalian brain" Current Opinion in Biomedical Engineering , v.12 , 2019 10.1016/j.cobme.2019.11.004 Citation Details
Condylis, Cameron and Lowet, Eric and Ni, Jianguang and Bistrong, Karina and Ouellette, Timothy and Josephs, Nathaniel and Chen, Jerry L. "Context-Dependent Sensory Processing across Primary and Secondary Somatosensory Cortex" Neuron , v.106 , 2020 10.1016/j.neuron.2020.02.004 Citation Details
Cottrell, Seth and Czerski, John and Adams, Dan and Field, Jeff and Bartels, Randy and Squier, Jeff "Single-shot spatial frequency modulation for imaging" Optics Express , v.31 , 2023 https://doi.org/10.1364/OE.493530 Citation Details
Farinella, Deano M. and Roy, Arani and Liu, Chao J. and Kara, Prakash "Improving laser standards for three-photon microscopy" Neurophotonics , v.8 , 2021 https://doi.org/10.1117/1.NPh.8.1.015009 Citation Details
(Showing: 1 - 10 of 37)

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