Temporally compressed sensing for intracellular motility contrast in OCT

Pan Ji; Amy L. Oldenburg

doi:10.1117/12.2610264

2 March 2022 Temporally compressed sensing for intracellular motility contrast in OCT

Pan Ji, Amy L. Oldenburg

Proceedings Volume PC11959, Dynamics and Fluctuations in Biomedical Photonics XIX; PC119590F (2022) https://doi.org/10.1117/12.2610264
Event: SPIE BiOS, 2022, San Francisco, California, United States

Abstract

The autocorrelation-based optical coherence tomography motility metric (OCT M) is sensitive to intracellular motion and independent of shot noise. M is widely applied to quantify drug and toxicant responses in 3D tissue models. To improve data scanning and storage efficiency, we propose a temporally uneven compressed sensing method to estimate short- and long-time correlations from OCT data. First, simulated OCT signals assuming diffusive motion demonstrates the method and its limitations. Then, M values derived from OCT data in mammary epithelial cell spheroids exposed to estrogen demonstrate that compressed M accurately reconstructs uncompressed M values at up to 8x compression ratio.

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Pan Ji and Amy L. Oldenburg "Temporally compressed sensing for intracellular motility contrast in OCT", Proc. SPIE PC11959, Dynamics and Fluctuations in Biomedical Photonics XIX, PC119590F (2 March 2022); https://doi.org/10.1117/12.2610264

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KEYWORDS

Optical coherence tomography

Compressed sensing

Data storage

Light scattering

Receptors

Signal to noise ratio

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