Paper
9 March 2015 Noninvasive and label-free detection of circulating melanoma cells by in vivo photoacoustic flow cytometry
Ping Yang, Rongrong Liu, Zhenyu Niu, Yuanzhen Suo, Hao He, Xunbin Wei
Author Affiliations +
Proceedings Volume 9324, Biophotonics and Immune Responses X; 93240G (2015) https://doi.org/10.1117/12.2079907
Event: SPIE BiOS, 2015, San Francisco, California, United States
Abstract
Melanoma is a malignant tumor of melanocytes. Circulating melanoma cell has high light absorption due to melanin highly contained in melanoma cells. This property is employed for the detection of circulating melanoma cell by in vivo photoacoustic flow cytometry (PAFC). PAFC is based on photoacoustic effect. Compared to in vivo flow cytometry based on fluorescence, PAFC can employ high melanin content of melanoma cells as endogenous biomarkers to detect circulating melanoma cells in vivo. In our research, we developed in vitro experiments to prove the ability of PAFC system of detecting PA signals from melanoma cells. For in vivo experiments, we constructed a model of melanoma tumor bearing mice by inoculating highly metastatic murine melanoma cancer cells B16F10 with subcutaneous injection. PA signals were detected in the blood vessels of mouse ears in vivo. By counting circulating melanoma cells termly, we obtained the number variation of circulating melanoma cells as melanoma metastasized. Those results show that PAFC is a noninvasive and label-free method to detect melanoma metastases in blood or lymph circulation. Our PAFC system is an efficient tool to monitor melanoma metastases, cancer recurrence and therapeutic efficacy.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ping Yang, Rongrong Liu, Zhenyu Niu, Yuanzhen Suo, Hao He, and Xunbin Wei "Noninvasive and label-free detection of circulating melanoma cells by in vivo photoacoustic flow cytometry", Proc. SPIE 9324, Biophotonics and Immune Responses X, 93240G (9 March 2015); https://doi.org/10.1117/12.2079907
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KEYWORDS
Melanoma

Signal detection

In vivo imaging

Tumors

Cancer

Flow cytometry

Blood

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