Guide-star-based computational adaptive optics for broadband interferometric tomography

Steven G. Adie; Nathan D. Shemonski; Benedikt W. Graf; Adeel Ahmad; P. Scott Carney; Stephen A. Boppart

doi:10.1063/1.4768778

Guide-star-based computational adaptive optics for broadband interferometric tomography

Steven G. Adie, Nathan D. Shemonski, Benedikt W. Graf, Adeel Ahmad, P. Scott Carney, Stephen A. Boppart

Research output: Contribution to journal › Article › peer-review

Abstract

We present a method for the numerical correction of optical aberrations based on indirect sensing of the scattered wavefront from point-like scatterers (guide stars) within a three-dimensional broadband interferometric tomogram. This method enables the correction of high-order monochromatic and chromatic aberrations utilizing guide stars that are revealed after numerical compensation of defocus and low-order aberrations of the optical system. Guide-star-based aberration correction in a silicone phantom with sparse sub-resolution-sized scatterers demonstrates improvement of resolution and signal-to-noise ratio over a large isotome. Results in highly scattering muscle tissue showed improved resolution of fine structure over an extended volume. Guide-star-based computational adaptive optics expands upon the use of image metrics for numerically optimizing the aberration correction in broadband interferometric tomography, and is analogous to phase-conjugation and time-reversal methods for focusing in turbid media.

Original language	English (US)
Article number	221117
Journal	Applied Physics Letters
Volume	101
Issue number	22
DOIs	https://doi.org/10.1063/1.4768778
State	Published - Nov 26 2012

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Physics and Astronomy (miscellaneous)

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10.1063/1.4768778

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title = "Guide-star-based computational adaptive optics for broadband interferometric tomography",

abstract = "We present a method for the numerical correction of optical aberrations based on indirect sensing of the scattered wavefront from point-like scatterers (guide stars) within a three-dimensional broadband interferometric tomogram. This method enables the correction of high-order monochromatic and chromatic aberrations utilizing guide stars that are revealed after numerical compensation of defocus and low-order aberrations of the optical system. Guide-star-based aberration correction in a silicone phantom with sparse sub-resolution-sized scatterers demonstrates improvement of resolution and signal-to-noise ratio over a large isotome. Results in highly scattering muscle tissue showed improved resolution of fine structure over an extended volume. Guide-star-based computational adaptive optics expands upon the use of image metrics for numerically optimizing the aberration correction in broadband interferometric tomography, and is analogous to phase-conjugation and time-reversal methods for focusing in turbid media.",

author = "Adie, {Steven G.} and Shemonski, {Nathan D.} and Graf, {Benedikt W.} and Adeel Ahmad and {Scott Carney}, P. and Boppart, {Stephen A.}",

note = "Funding Information: The authors thank Eric Chaney and Dr. Marina Marjanovic for providing the muscle tissue used in this study, which was acquired under a protocol approved by the Institutional Animal Care and Use Committee at the University of Illinois at Urbana-Champaign. We also thank Dr. Daniel Marks for providing the phantom used in this study and Darold Spillman for providing operations and information technology support. B.W.G. was supported by the Predoctoral National Institutes of Health Environmental Health Sciences Training Program in Endocrine, Developmental, and Reproductive Toxicology at the University of Illinois at Urbana-Champaign. This research was supported in part by grants from the National Institutes of Health (R01 EB012479 and R01 EB013723). Additional information can be found at http://biophotonics.illinois.edu .",

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AU - Boppart, Stephen A.

N1 - Funding Information: The authors thank Eric Chaney and Dr. Marina Marjanovic for providing the muscle tissue used in this study, which was acquired under a protocol approved by the Institutional Animal Care and Use Committee at the University of Illinois at Urbana-Champaign. We also thank Dr. Daniel Marks for providing the phantom used in this study and Darold Spillman for providing operations and information technology support. B.W.G. was supported by the Predoctoral National Institutes of Health Environmental Health Sciences Training Program in Endocrine, Developmental, and Reproductive Toxicology at the University of Illinois at Urbana-Champaign. This research was supported in part by grants from the National Institutes of Health (R01 EB012479 and R01 EB013723). Additional information can be found at http://biophotonics.illinois.edu .

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Guide-star-based computational adaptive optics for broadband interferometric tomography

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