Paper
27 February 2014 In vivo, label-free, and noninvasive detection of melanoma metastasis by photoacoustic flow cytometry
Author Affiliations +
Proceedings Volume 8944, Biophotonics and Immune Responses IX; 89440Q (2014) https://doi.org/10.1117/12.2041022
Event: SPIE BiOS, 2014, San Francisco, California, United States
Abstract
Melanoma, a malignant tumor of melanocytes, is the most serious type of skin cancer in the world. It accounts for about 80% of deaths of all skin cancer. For cancer detection, circulating tumor cells (CTCs) serve as a marker for metastasis development, cancer recurrence, and therapeutic efficacy. Melanoma tumor cells have high content of melanin, which has high light absorption and can serve as endogenous biomarker for CTC detection without labeling. Here, we have developed an in vivo photoacoustic flow cytometry (PAFC) to monitor the metastatic process of melanoma cancer by counting CTCs of melanoma tumor bearing mice in vivo. To test in vivo PAFC’s capability of detecting melanoma cancer, we have constructed a melanoma tumor model by subcutaneous inoculation of highly metastatic murine melanoma cancer cells, B16F10. In order to effectively distinguish the targeting PA signals from background noise, we have used the algorithm of Wavelet denoising method to reduce the background noise. The in vivo flow cytometry (IVFC) has shown a great potential for detecting circulating tumor cells quantitatively in the blood stream. Compared with fluorescence-based in vivo flow cytometry (IVFC), PAFC technique can be used for in vivo, label-free, and noninvasive detection of circulating tumor cells (CTCs).
© (2014) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rongrong Liu, Cheng Wang, Cheng Hu, Xueding Wang, and Xunbin Wei "In vivo, label-free, and noninvasive detection of melanoma metastasis by photoacoustic flow cytometry", Proc. SPIE 8944, Biophotonics and Immune Responses IX, 89440Q (27 February 2014); https://doi.org/10.1117/12.2041022
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Cited by 4 scholarly publications.
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KEYWORDS
Tumors

Melanoma

In vivo imaging

Cancer

Flow cytometry

Blood

Photoacoustic spectroscopy

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