Improving the signal analysis for in vivo photoacoustic flow cytometry

Zhenyu Niu; Ping Yang; Dan Wei; Shuo Tang; Xunbin Wei

doi:10.1117/12.2079956

10 March 2015 Improving the signal analysis for in vivo photoacoustic flow cytometry

Zhenyu Niu, Ping Yang, Dan Wei, Shuo Tang, Xunbin Wei

Proceedings Volume 9324, Biophotonics and Immune Responses X; 932413 (2015) https://doi.org/10.1117/12.2079956
Event: SPIE BiOS, 2015, San Francisco, California, United States

Abstract

At early stage of cancer, a small number of circulating tumor cells (CTCs) appear in the blood circulation. Thus, early detection of malignant circulating tumor cells has great significance for timely treatment to reduce the cancer death rate. We have developed an in vivo photoacoustic flow cytometry (PAFC) to monitor the metastatic process of CTCs and record the signals from target cells. Information of target cells which is helpful to the early therapy would be obtained through analyzing and processing the signals. The raw signal detected from target cells often contains some noise caused by electronic devices, such as background noise and thermal noise. We choose the Wavelet denoising method to effectively distinguish the target signal from background noise. Processing in time domain and frequency domain would be combined to analyze the signal after denoising. This algorithm contains time domain filter and frequency transformation. The frequency spectrum image of the signal contains distinctive features that can be used to analyze the property of target cells or particles. The PAFC technique can detect signals from circulating tumor cells or other particles. The processing methods have a great potential for analyzing signals accurately and rapidly.

Citation Download Citation

Zhenyu Niu, Ping Yang, Dan Wei, Shuo Tang, and Xunbin Wei "Improving the signal analysis for in vivo photoacoustic flow cytometry", Proc. SPIE 9324, Biophotonics and Immune Responses X, 932413 (10 March 2015); https://doi.org/10.1117/12.2079956

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