Prostate cancer is the most prevalent cancer among Canadian men. Historically, cancer has been studied using 2D cell culture methods, but recently 3D cell culture methods like tumor spheroids have been become popular to better replicate the physiological environment of the body. We developed ultrahigh resolution line-field OCT (LF-OCT) technology and a dynamic OCT (dOCT) method to image tumor spheroids and identify areas of necrosis, for comparison with computer simulation. The LF-OCT system has sufficient spatial resolution to identify individual cells and capture the cellular level of activity while the dOCT algorithm can resolve the dynamic activity accurately. The study will be extended to investigate the spatial and temporal development of necrosis in PC3 prostate tumor spheroids under different conditions like such as temperature, pressure, and culture medium type. These results will be used to inform and extend the model to an in vivo environment.
Dynamic OCT (dOCT) method uses time-depended OCT signal fluctuations arising from cellular motion in biological tissues to generate additional contrast in OCT images. So far dOCT studies have been conducted with Point-scanning and Full-field dOCT platforms, each of them offering advantages and limitations such as FOV, volumetric scan and phase stability. Here we present the first line-field dOCT platform (LF-dOCT), which allows low jitter B-scan dOCT signal collections. A Powell lens is utilized for uniform line-direction system sensitivity. Various biological tissues have been imaged with the LF-dOCT platform to validate its ability to detect cellular and intracellular dynamics.
Prostate cancer is the most prevalent cancer among Canadian men and is often treated with radiation therapy. Historically, cancer has been studied using 2D cell culture methods, but recently 3D cell culture methods like tumor spheroids have been become popular to better replicate the physiological environment of the body. We developed ultrahigh resolution line-field OCT (LF-OCT) technology and a dynamic OCT (dOCT) method to image tumor spheroids and identify areas of necrosis, for comparison with computer simulation. The LF-OCT system has sufficient spatial resolution to identify individual cells and capture the cellular level of activity while the dOCT algorithm can resolve the dynamic activity accurately. The study will be extended to investigate the spatial and temporal development of necrosis in PC3 prostate tumor spheroids after irradiation. These results will be used to inform and extend the model to an in vivo environment.
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