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Award Abstract # 1752405
CAREER: Hybrid adaptive optics: a new paradigm for faster, deeper, volumetric microscopy in scattering media

NSF Org: CBET
Division of Chemical, Bioengineering, Environmental, and Transport Systems
Recipient: CORNELL UNIVERSITY
Initial Amendment Date: December 15, 2017
Latest Amendment Date: December 15, 2017
Award Number: 1752405
Award Instrument: Standard Grant
Program Manager: Adam Wax
CBET
 Division of Chemical, Bioengineering, Environmental, and Transport Systems
ENG
 Directorate for Engineering
Start Date: June 1, 2018
End Date: May 31, 2023 (Estimated)
Total Intended Award Amount: $500,000.00
Total Awarded Amount to Date: $500,000.00
Funds Obligated to Date: FY 2018 = $500,000.00
History of Investigator:
  • Steven Adie (Principal Investigator)
    sga42@cornell.edu
Recipient Sponsored Research Office: Cornell University
341 PINE TREE RD
ITHACA
NY  US  14850-2820
(607)255-5014
Sponsor Congressional District: 19
Primary Place of Performance: Cornell University
237 Tower Road
Ithaca
NY  US  14853-7202
Primary Place of Performance
Congressional District:
19
Unique Entity Identifier (UEI): G56PUALJ3KT5
Parent UEI:
NSF Program(s): BioP-Biophotonics
Primary Program Source: 01001819DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 1045
Program Element Code(s): 723600
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.041

ABSTRACT

Optical microscopy has played a key role in biomedical discoveries for clinical management of disease, but significant challenges remain for applications that require rapid, non-invasive imaging over large volumes, particularly when imaging deep into optically dense biological media. This proposal addresses these limitations by developing new ways of splitting up, and sharing the work of image formation between state-of-the-art computational and hardware approaches. These methods will be demonstrated by imaging biological phenomena that cannot be studied with existing methods. The accompanying education and outreach activities will foster a broader appreciation for biomedical optics and imaging, and train scientists and engineers to effectively interact with, and engage the public. Outreach aspects of this proposal will create experiential and interactive inquiry-based workshops for middle and high school students, develop interactive demonstrations for the Ithaca Sciencenter and train graduate students to effectively communicate their science with the public.


High-throughput volumetric microscopy deep in biological media is important for the study of dynamic biological processes, such as the biophysical interactions associated with collective cell migration, or neural network activity in the mouse brain. Optical coherence microscopy (OCM) and three-photon microscopy (3PM) are currently the modalities that enable the deepest microscopic imaging in scattering biological samples. However, their volumetric imaging speed and penetration depth is currently limited by depth-dependent photon collection, or by wavefront distortions due to aberrations and multiple scattering. This proposal will synergistically combine hardware adaptive optics (AO) and computational adaptive optics (CAO), to dramatically improve the speed and imaging depth range of volumetric OCM and 3PM.This hybrid AO approach will be used to launch new avenues of investigation, including studies on inter-cell coordination of cell traction forces during 3D migration, and investigations on the connection between behavior and spatiotemporal patterns of neural network activity deep in the mouse brain.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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Liu, Siyang and Lamont, Michael_R_E and Mulligan, Jeffrey_A and Adie, Steven_G "Aberration-diverse optical coherence tomography for suppression of multiple scattering and speckle" Biomedical Optics Express , v.9 , 2018 https://doi.org/10.1364/BOE.9.004919 Citation Details
Liu, Siyang and Mulligan, Jeffrey A. and Adie, Steven G. "Volumetric optical coherence microscopy with a high space-bandwidth-time product enabled by hybrid adaptive optics" Biomedical Optics Express , v.9 , 2018 10.1364/BOE.9.003137 Citation Details
Liu, Siyang and Xia, Fei and Yang, Xusan and Wu, Meiqi and Bizimana, Laurie_A and Xu, Chris and Adie, Steven_G "Closed-loop wavefront sensing and correction in the mouse brain with computed optical coherence microscopy" Biomedical Optics Express , v.12 , 2021 https://doi.org/10.1364/BOE.427979 Citation Details
Wu, Meiqi and Liu, Siyang and Leartprapun, Nichaluk and Adie, Steven "Investigation of multiple scattering in space and spatial-frequency domains: with application to the analysis of aberration-diverse optical coherence tomography" Biomedical Optics Express , v.12 , 2021 https://doi.org/10.1364/BOE.439395 Citation Details
Wu, Meiqi and Small, David M. and Nishimura, Nozomi and Adie, Steven G. "Computed optical coherence microscopy of mouse brain ex vivo" Journal of Biomedical Optics , v.24 , 2019 10.1117/1.JBO.24.11.116002 Citation Details

PROJECT OUTCOMES REPORT

Disclaimer

This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.

This project has developed new ways of integrating optical wavefront shaping with computational methods to enable faster and deeper imaging in scattering biological samples.  Faster imaging is important for studying how a population of cells interact with each other as well as their 'local neighborhood' known as the extracellular matrix.  In particular, we have demonstrated volumetric time-lapse imaging of these dynamic interactions without the need for fluorescent labeling that can be toxic when when used for long-term continuous imaging studies. Imaging deeper into scattering samples (tissues or engineered cell cultures) is a significant problem since scattering distorts the wavefront of light propaging into the sample, degrading the ability to form high quality images deep into the sample. (This problem is analoigous to trying to see through fog, which can severly limit the range of visibility when driving.) Our integrated optical wavefront shaping and computational approach has shown that the diffuse (or 'hazy') part of the measured light signal can actually be suppressed, thereby improving image quality when imaging deep into a scatttering sample. Our advances enable us to 'see' more of the 3D microstructure of the sample, and how cell populations interact with each other and their neighbourhood. This could lead to new discoveries about how diseases like cancer develop, and also provide a way to design and test new approaches to treating disease.

The outreach aspects of this project have resulted in the training of tens of graduate or undergraduate students on how to effectively engage a general audience (especially K-12 students), to get them excited about the 'world of optics and imaging'.  As part of the Principlal Investigators Modern Biomedical Microsocpy class, during a science communication module that was run in collaboration with the Ithaca Sciencenter and Cornell's Center for Teaching Innovation, students in the class developed interactive activities that were subsequently presented to visitors at the Ithaca Sciencenter. This has helped share some of the excitemtent of doing science (in particular optics and imaging research) with non-specialists, and helped train potential future leaders in science to continue to engage with the public.


Last Modified: 02/19/2024
Modified by: Steven G Adie

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