Speckle-modulating optical coherence tomography in living mice and humans

Orly Liba, Matthew D. Lew, Elliott D. SoRelle, Rebecca Dutta, Debasish Sen, Darius M. Moshfeghi, Steven Chu and Adam de la Zerda ()
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Orly Liba: Stanford University
Matthew D. Lew: Stanford University
Elliott D. SoRelle: Stanford University
Rebecca Dutta: Stanford University
Debasish Sen: Stanford University
Darius M. Moshfeghi: Byers Eye Institute, Stanford University School of Medicine
Steven Chu: The Bio-X Program
Adam de la Zerda: Stanford University

Nature Communications, 2017, vol. 8, issue 1, 1-13

Abstract: Abstract Optical coherence tomography (OCT) is a powerful biomedical imaging technology that relies on the coherent detection of backscattered light to image tissue morphology in vivo. As a consequence, OCT is susceptible to coherent noise (speckle noise), which imposes significant limitations on its diagnostic capabilities. Here we show speckle-modulating OCT (SM-OCT), a method based purely on light manipulation that virtually eliminates speckle noise originating from a sample. SM-OCT accomplishes this by creating and averaging an unlimited number of scans with uncorrelated speckle patterns without compromising spatial resolution. Using SM-OCT, we reveal small structures in the tissues of living animals, such as the inner stromal structure of a live mouse cornea, the fine structures inside the mouse pinna, and sweat ducts and Meissner’s corpuscle in the human fingertip skin—features that are otherwise obscured by speckle noise when using conventional OCT or OCT with current state of the art speckle reduction methods.

Date: 2017
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DOI: 10.1038/ncomms15845

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