Dynamic light scattering optical coherence tomography to probe motion of subcellular scatterers

Abstract. Optical coherence tomography (OCT) is used to provide anatomical information of biological systems but can also provide functional information by characterizing the motion of intracellular structures. Dynamic light scattering OCT was performed on intact, control MCF-7 breast cancer cells and cells either treated with paclitaxel to induce apoptosis or deprived of nutrients to induce oncosis. Autocorrelations (ACs) of the temporal fluctuations of OCT intensity signals demonstrate a significant decrease in decorrelation time after 24 h in both the paclitaxel-treated and nutrient-deprived cell groups but no significant differences between the two groups. The acquired ACs were then used as input for the CONTIN deconvolution algorithm, and all produced CONTIN outputs with three distinct peaks for all experimental conditions. After 24 h of either paclitaxel treatment or nutrient deprivation, the area-under-the-curve (AUC) of the first peak increased significantly while the AUC of the third peak decreased significantly. These results lend strong support to the hypothesis that ACs acquired from cells are composed of multiple components that correspond to light scattered by different subcellular structures and organelles.

[1]  J. Schmitt,et al.  Speckle in optical coherence tomography. , 1999, Journal of biomedical optics.

[2]  Adrian Mariampillai,et al.  Detecting apoptosis using dynamic light scattering with optical coherence tomography. , 2011, Journal of biomedical optics.

[3]  W D Lawrence,et al.  Paclitaxel‐induced apoptosis in MCF‐7 breast‐cancer cells , 1997, International journal of cancer.

[4]  Noel A. Clark,et al.  A Study of Brownian Motion Using Light Scattering , 1969 .

[5]  Amy L Oldenburg,et al.  Imaging Extracellular Matrix Remodeling In Vitro by Diffusion-Sensitive Optical Coherence Tomography. , 2016, Biophysical journal.

[6]  Judith R. Mourant,et al.  Light scattering from cells: the contribution of the nucleus and the effects of proliferative status , 2000, BiOS.

[7]  D. Boas,et al.  Dynamic light scattering optical coherence tomography. , 2012, Optics express.

[8]  Nada N Boustany,et al.  Optical scatter changes at the onset of apoptosis are spatially associated with mitochondria. , 2010, Journal of biomedical optics.

[9]  C. Bocca,et al.  Insulin can modulate MCF-7 cell response to paclitaxel. , 2004, Cancer letters.

[10]  G. Majno,et al.  Apoptosis, oncosis, and necrosis. An overview of cell death. , 1995, The American journal of pathology.

[11]  C. Ayata,et al.  Quantitative Imaging of Cerebral Blood Flow Velocity and Intracellular Motility using Dynamic Light Scattering–Optical Coherence Tomography , 2013, Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism.

[12]  Jeroen Kalkman,et al.  Measurement of biofilm growth and local hydrodynamics using optical coherence tomography. , 2016, Biomedical optics express.

[13]  Adrian Mariampillai,et al.  Speckle variance detection of microvasculature using swept-source optical coherence tomography. , 2008, Optics letters.

[14]  H. Steller,et al.  Letting go: modification of cell adhesion during apoptosis , 2009, Journal of biology.

[15]  U. Gasser,et al.  The CONTIN algorithm and its application to determine the size distribution of microgel suspensions. , 2015, The Journal of chemical physics.