Characterizing 3D morphology of multicellular tumor spheroids using optical coherence tomography (Conference Presentation)

Yongyang Huang; Shunqiang Wang; Sarah Kessel; Ian Rubinoff; Yaling Liu; Peter Y. Li; Jean Qiu; Chao Zhou

doi:10.1117/12.2254920

19 April 2017 Characterizing 3D morphology of multicellular tumor spheroids using optical coherence tomography (Conference Presentation)

Yongyang Huang, Shunqiang Wang, Sarah Kessel, Ian Rubinoff, Yaling Liu, Peter Y. Li, Jean Qiu, Chao Zhou

Author Affiliations +

Proceedings Volume 10053, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXI; 100530T (2017) https://doi.org/10.1117/12.2254920
Event: SPIE BiOS, 2017, San Francisco, California, United States

Abstract

There is strong evidence that the morphological parameters of multicellular tumor spheroids (MCTS), particularly size, sphericity, and growth pattern, play a role in their cytochemical responses. Because tumor spheroids accurately represent the three-dimensional (3D) structure of in vivo tumors, they may also mimic in vivo cytochemical responses, thus lending them relevance to cancer research. Knowledge of MCTS attributes, including oxygen and nutrient gradients, hypoxia resistance, and drug response, assist specialists seeking the most efficient ways to treat cancer. Structural information on tumor spheroids can provide insight into these attributes, and become a valuable asset for treatment in vivo. Currently, high-resolution bioimaging modalities, most notably bright field imaging, phase contrast imaging, fluorescent microscopy, and confocal imaging, are being employed for this purpose. However, these modalities lack sufficient penetration depth to resolve the entire geometry of large spheroids (>200um). In response to this deficiency, we propose a potential high-throughput imaging platform using optical coherence tomography (OCT) to quantify MCTS morphology. OCT’s high resolution and depth penetration allow us to obtain complete, high-detailed, 3D tumor reconstructions with accurate diameter measurements. Furthermore, a computer-based voxel counting method is used to quantify tumor volume, which is significantly more accurate than the estimations required by 2D-projection modalities. Thus, this imaging platform provides one of the most complete and robust evaluations of tumor spheroid morphology, and shows great potential for contribution to the study of cancer treatment and drug discovery.

Conference Presentation

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Yongyang Huang, Shunqiang Wang, Sarah Kessel, Ian Rubinoff, Yaling Liu, Peter Y. Li, Jean Qiu, and Chao Zhou "Characterizing 3D morphology of multicellular tumor spheroids using optical coherence tomography (Conference Presentation)", Proc. SPIE 10053, Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XXI, 100530T (19 April 2017); https://doi.org/10.1117/12.2254920

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KEYWORDS

Tumors

Optical coherence tomography

Cancer

In vivo imaging

Confocal microscopy

Confocal fluorescent microscopy

Hypoxia

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