Superresolution Diffuse Optical Imaging by Localization of Fluorescence

Bentz, Brian Z.; Lin, Dergan; Webb, Kevin J.

doi:10.1103/PhysRevApplied.10.034021

Superresolution Diffuse Optical Imaging by Localization of Fluorescence

Journal Article · Tue Sep 11 00:00:00 EDT 2018 · Physical Review Applied

DOI:https://doi.org/10.1103/PhysRevApplied.10.034021· OSTI ID:1477869

Bentz, Brian Z. ^[1]; Lin, Dergan ^[2]; Webb, Kevin J. ^[2]

Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Purdue Univ., West Lafayette, IN (United States)
Purdue Univ., West Lafayette, IN (United States)

The multiple scattering of light presents major challenges in realizing useful in vivo imaging at tissue depths of more than about one millimeter, where many answers to health questions lie. Visible through near-infrared photons can be readily and safely detected through centimeters of tissue; however, limited information is available for image formation. One strategy for obtaining images is to model the photon transport and a simple incoherent model is the diffusion equation approximation to the Boltzmann transport equation. Such an approach provides a prediction of the mean intensity of heavily scattered light and hence provides a forward model for optimization-based computational imaging. While diffuse optical imaging methods have received substantial attention, they remain restricted in terms of resolution because of the loss of high-spatial-frequency information that is associated with the multiple scattering of photons. Consequently, only relatively large inhomogeneities, such as tumors or organs in small animals, can be effectively resolved. We introduce a superresolution imaging approach based on point localization in a diffusion framework that enables over two orders of magnitude improvement in the spatial resolution of diffuse optical imaging. The method is demonstrated experimentally by localizing a fluorescent inhomogeneity in a highly scattering slab and characterizing the localization uncertainty. The approach allows imaging through centimeters of tissue with a resolution of tens of microns, thereby enabling cells or cell clusters to be resolved. More generally, this high-resolution imaging approach could be applied with any physical transport or wave model and hence to a broad class of physical problems. Finally, paired with a suitable optical contrast mechanism, as can be realized with targeted fluorescent molecules or genetically modified animals, superresolution diffuse imaging should open alternative dimensions for in vivo applications.

View Accepted Manuscript (DOE)

Research Organization:: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Purdue Univ., West Lafayette, IN (United States)

Sponsoring Organization:: USDOE; National Science Foundation (NSF) (United States); National Inst. of Health (NIH) (United States)

Grant/Contract Number:: NA0003525

OSTI ID:: 1477869

Report Number(s):: SAND2018--5205J; 663157

Journal Information:: Physical Review Applied, Journal Name: Physical Review Applied Journal Issue: 3 Vol. 10; ISSN 2331-7019

Publisher:: American Physical Society (APS)Copyright Statement

Country of Publication:: United States

Language:: English

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71 CLASSICAL AND QUANTUM MECHANICS
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