心肌细胞钙火花图像的分析与研究

Study and Analysis on Ca^(2+) sparks Image in Myocardial Cells

目的:研究一种对心肌细胞激光共聚焦扫描显微图像进行信号滤噪、伪彩色增强和图像信号可视化的方法。方法:利用钙火花图像的时域特性,对捕获到的心肌线、面扫描钙火花图像使用DB小波进行小波分解和滤噪处理,最终得到更清晰的钙火花图像。结果:通过小波分解和滤噪处理后的图像的噪声波有效去除,图像的信噪比大幅提高。结论:本研究所建立的方法可以清晰地分析研究钙火花的形态学参数,直观地表现出钙离子在不同发生时间点上的浓度变化以及变化的幅度,对分析钙火花的发生机制及作用机理均有重要意义。

Objective To study a myocardial cell laser scanning confocal microscope image signal noise filtering,enhancement and visualization method.Methods Based on the time-domain characteristics of calcium sparks images,DB wavelet was employed to remove noise existing in captured calcium sparks images and enhance the calcium sparks images signal.Finally,the clearer three-dimensional calcium sparks images were obtained.Results Noise of images was removed by using wavelet analysis and noise removal.The SNR of image was greatly raised.Conclusion The proposed method can clearly analyze the morphological parameters of calcium sparks,and visually demonstrate change rate of Ca2＋ concentration occurred at different time points,which is very important to the analysis of calcium sparks pathogenesis and mechanism.