Motility-, autocorrelation-, and polarization-sensitive optical coherence tomography discriminates cells and gold nanorods within 3D tissue cultures

We propose a method for differentiating classes of light scatterers based upon their temporal and polarization properties computed from time series of polarization-sensitive optical coherence tomography (PS-OCT) images. The amplitude (motility) and time scale (autocorrelation decay time) of the spec...

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Bibliographic Details
Published inOptics letters Vol. 38; no. 15; p. 2923
Main Authors Oldenburg, Amy L, Chhetri, Raghav K, Cooper, Jason M, Wu, Wei-Chen, Troester, Melissa A, Tracy, Joseph B
Format Journal Article
LanguageEnglish
Published United States 01.08.2013
Subjects
Gold - chemistry
Humans
Image Processing, Computer-Assisted - methods
Light
Mammary Glands, Human - cytology
Nanotubes
Scattering, Radiation
Tissue Culture Techniques
Tomography, Optical Coherence - methods
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Summary:We propose a method for differentiating classes of light scatterers based upon their temporal and polarization properties computed from time series of polarization-sensitive optical coherence tomography (PS-OCT) images. The amplitude (motility) and time scale (autocorrelation decay time) of the speckle fluctuations are combined with the cross-polarization pixel-wise to render Motility-, autocorrelation-, and polarization-sensitive (MAPS) OCT contrast images. This combination of metrics provides high specificity for discriminating diffusive gold nanorods and mammary epithelial cell spheroids within 3D tissue culture, based on their unique MAPS signature. This has implications toward highly specific contrast in molecular (nanoparticle-based) and functional (cellular activity) imaging using standard PS-OCT hardware.
ISSN:1539-4794
DOI:10.1364/ol.38.002923