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Automated region of interest analysis of dynamic Ca~(2+) signals in image sequences

机译:图像序列中动态Ca〜(2+)信号的自动感兴趣区域分析

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摘要

Relative cellular Ca~(2+) levels are commonly measured as time lapse image sequences using fluorescent Ca~(2+) indicators, such as Fluo-4 (2,10, 12,15-16, 21-22, 26-27,29-31). These image sequences are often analyzed with user-defined regions of interest (ROIs) at sites determined to have fluctuations in fluorescence intensity, and the mean intensity within each ROI is measured as a function of time (2, 8-11,15, 29-31). Current ROI-based Ca~(2+) measurements are both time consuming and labor intensive because they require the user to select many ROIs individually and perform repetitive computations (18-20, 25). Manual ROI placement may also be prone to considerable user error, including the introduction of artificial signal modes and the loss of signal modes due to the exclusion of low amplitude or diffuse signals (20, 32).
机译:通常使用荧光Ca〜(2+)指示剂(例如Fluo-4(2,10、12、15-16、21-22、26-27)将相对细胞Ca〜(2+)水平作为延时图像序列进行测量,29-31)。这些图像序列通常在确定为荧光强度波动的位置使用用户定义的感兴趣区域(ROI)进行分析,并且每个ROI中的平均强度随时间而变化(2,8-11,15,29 -31)。当前基于ROI的Ca〜(2+)测量既费时又费力,因为它们要求用户分别选择许多ROI并执行重复计算(18-20,25)。手动放置ROI也可能会导致相当大的用户错误,包括引入人工信号模式以及由于排除了低幅度或扩散信号而导致信号模式丢失(20、32)。

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