Open Access
1 February 2011 Detecting cell death with optical coherence tomography and envelope statistics
Golnaz Farhat, Gregory J. Czarnota, Michael C. Kolios, Victor X. D. Yang
Author Affiliations +
Abstract
Currently no standard clinical or preclinical noninvasive method exists to monitor cell death based on morphological changes at the cellular level. In our past work we have demonstrated that quantitative high frequency ultrasound imaging can detect cell death in vitro and in vivo. In this study we apply quantitative methods previously used with high frequency ultrasound to optical coherence tomography (OCT) to detect cell death. The ultimate goal of this work is to use these methods for optically-based clinical and preclinical cancer treatment monitoring. Optical coherence tomography data were acquired from acute myeloid leukemia cells undergoing three modes of cell death. Significant increases in integrated backscatter were observed for cells undergoing apoptosis and mitotic arrest, while necrotic cells induced a decrease. These changes appear to be linked to structural changes observed in histology obtained from the cell samples. Signal envelope statistics were analyzed from fittings of the generalized gamma distribution to histograms of envelope intensities. The parameters from this distribution demonstrated sensitivities to morphological changes in the cell samples. These results indicate that OCT integrated backscatter and first order envelope statistics can be used to detect and potentially differentiate between modes of cell death invitro.
©(2011) Society of Photo-Optical Instrumentation Engineers (SPIE)
Golnaz Farhat, Gregory J. Czarnota, Michael C. Kolios, and Victor X. D. Yang "Detecting cell death with optical coherence tomography and envelope statistics," Journal of Biomedical Optics 16(2), 026017 (1 February 2011). https://doi.org/10.1117/1.3544543
Published: 1 February 2011
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CITATIONS
Cited by 34 scholarly publications and 1 patent.
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KEYWORDS
Cell death

Optical coherence tomography

Backscatter

Ultrasonography

In vitro testing

Statistical analysis

Data acquisition

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