We present a 3-D non-invasive OCT-based tissue dynamics imaging method to evaluate the tumor spheroid drug response. Our method depends on newly developed 3-D scanning protocol, which acquires the volumetric tomography in 52.4 s. The scanning protocol repeats raster scanning 32 times at each location in the tissue in 6.55 s. The tissue sub-cellular motion/viability is quantified by analyzing the OCT time sequence using our developed algorithms including “logarithmic intensity variance algorithm (LIV)” and “late OCT correlation decay speed (OCDSl)”. The capability of our method has been investigated by evaluating the response of the human originated breast cancer (MCF-7) and colon cancer (HT-29) spheroids to anti-cancer drugs. The tissue viability alterations induced by the drug applications have been successfully visualized and quantified.
A multi-functional optical coherence microscopy capable of computational refocusing, tissue dynamics and birefringence imaging, and scatterer density estimation is demonstrated. It is applied to cell spheroid, ex vivo animal tissues.
A three-dimensional multi-contrast tissue dynamics imaging method based on polarization-sensitive optical coherence tomography is presented to visualize microvascular tissue activity of mouse livers. Temporal variance of birefringence, temporal polarization uniformity and logarithmic OCT intensity variance are used to access the tissue dynamics. These methods are applied to time-course microvasculature activity visualization of dissected normal and inflammatory mouse liver. Multi-contrast projection images are generated to visualize vascular network of the liver. Cross-sectional and en face dynamics images show high activity around the periportal region of mouse liver at initial time point. Degradation of tissue activity is demonstrated by time-lapse imaging.
We present a new no-invasive label-free OCT-based tissue dynamics/subcellular motion imaging method to visualize and quantify the tissue activity of tumor spheroid. Our method is based on the statistical analysis of the OCT intensity fluctuations of the rapidly acquired OCT signals. The analysis includes log intensity variance (LIV) and OCT correlation decay speed (OCDS). The presented methods have been utilized to visualize and quantify the necrotic activity of the human originated tumor spheroids along 20 hours as cross-sectional and 3-D tomography. This necrotic activity of the spheroid has been not only visualized as an image, but also quantification of the necrotic cell ratio in the spheroid region has been presented.
We present a new non-invasive label-free imaging method, which visualizes tissue dynamics/sub-cellular motion by analyzing the temporal fluctuation of optical coherence tomography (OCT) signals. Our modality has been utilized for visualization and quantification of the time course necrotic process of human breast adenocarcinoma spheroid (MCF7). The response of MCF7 spheroid against anti-cancer drug has also been investigated. The presented method is quantitative. So, the necrotic process was not only shown by images but the dynamics signal value is also plotted as a function of time. It showed clear degradation of tissue activity by time.
A new method for quantitative assessment of tissue dynamics and activity is presented. The method is based on polarizationsensitive optical coherence tomography. Temporal variance of birefringence and temporal polarization uniformity are used to assess the tissue dynamics. These methods are applied to hourly time-course evaluation of tissue activity of ex-vivo dissected mouse heart.
We present a new OCT-based tissue dynamics/subcellular motion analysis method to visualize tissue dynamics, where we increase the functionality of OCT to be sensitive for tissue dynamics by utilizing rapid-time-sequence analysis of OCT signals. These analysis includes log intensity variance (LIV) and OCT time-correlation analysis (OCT decorrelation speed; OCDS). In addition to LIV and OCDS methods, attenuation coefficient (AC), birefringence, and degree of polarization uniformity (DOPU) analysis were performed. These methods used to visualize and quantify long-term tissue dynamics degradation of different tissue types such as dissected mouse liver and tumor spheroids. These methods were quantitative, so the time-course tissue dynamics degradation has been not only visualized as an image, but also quantitative analysis of the dynamics degradation were performed.
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