19 February 2018 Improving label-free detection of circulating melanoma cells by photoacoustic flow cytometry
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Proceedings Volume 10495, Biophotonics and Immune Responses XIII; 104950U (2018) https://doi.org/10.1117/12.2288999
Event: SPIE BiOS, 2018, San Francisco, California, United States
Abstract
Melanoma is a kind of a malignant tumor of melanocytes with the properties of high mortality and high metastasis rate. The circulating melanoma cells with the high content of melanin can be detected by light absorption to diagnose and treat cancer at an early stage. Compared with conventional detection methods such as in vivo flow cytometry (IVFC) based on fluorescence, the in vivo photoacoustic flow cytometry (PAFC) utilizes melanin cells as biomarkers to collect the photoacoustic (PA) signals without toxic fluorescent dyes labeling in a non-invasive way. The information of target tumor cells is helpful for data analysis and cell counting. However, the raw signals in PAFC system contain numerous noises such as environmental noise, device noise and in vivo motion noise. Conventional denoising algorithms such as wavelet denoising (WD) method and means filter (MF) method are based on the local information to extract the data of clinical interest, which remove the subtle feature and leave many noises. To address the above questions, the nonlocal means (NLM) method based on nonlocal data has been proposed to suppress the noise in PA signals. Extensive experiments on in vivo PA signals from the mice with the injection of B16F10 cells in caudal vein have been conducted. All the results indicate that the NLM method has superior noise reduction performance and subtle information reservation.
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Huan Zhou, Qiyan Wang, Kai Pang, Quanyu Zhou, Ping Yang, Hao He, Xunbin Wei, "Improving label-free detection of circulating melanoma cells by photoacoustic flow cytometry", Proc. SPIE 10495, Biophotonics and Immune Responses XIII, 104950U (19 February 2018); doi: 10.1117/12.2288999; https://doi.org/10.1117/12.2288999
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