Signal Analysis For Fluorescence-based And Photoacoustic-based In Vivo Flow Cytometry

This master project is about the research of signal analysis of the fluorescence-based in vivo flow cytometry and photoacoustic-based flow cytomtry.The in vivo flow cytometry(IVFC)is a biomedical optical apparatus that can realize quantitative detection and dynamic analysis of cells and cell clusters in real-time in the circulation system of living animals,which utilizes the fluorescent dyes labeling or the photoacoustic effect of the tissue.According to the different mechanisms of the signal,the IVFC can be divided into two categories: the fluorescence-based in vivo flow cytometry and the photoacoustic-based in vivo flow cytometry.The methods of data analysis of the two are different accordingly.Currently,the research about IVFC focuses on its biomedical applications,and there are few explorations about the analysis of the data collected.Investigating on how to improve the accuracy and the efficiency of the data analysis is helpful to discover the growth and metastasis of tumor cells in living animals.There are already some reports about the data analysis method of the fluorescence-based in vivo flow cytometry.However,these methods primarily focus on how to find cell peaks.Based on previous research,this project investigated the correction method of signals with baseline drift,and explored the processing method of double peaks,thus improving the robustness of the data and the accuracy of analysis.There are few investigations on data analysis of the photoacoustic-based in vivo flow cytometry.This project conducted animal experiments and recorded the number of circulating melanoma cells in the nude mice.Besides,the detection formula of the threshold in time domain and the batch processing method of the photoacoustic signal has been investigated,thus improving the accuracy and efficiency of the analysis.