The present paper deals with the signal-to-background ratio and detection limit of derivative spectrometry.
本文比较研究了导数光谱法和常规光谱法的信背比、传统检出限和真实检出限。
CLIA using acridinium ester derivatives as chemiluminescent label has advantages of low background and high signal-to-noise ratio.
以吖啶酯衍生物为发光标记物的CLIA的特点是:自然本底低和信噪比高。
Experimental results showed that the algorithm can process with high detection ratio and high precision registration noise-corrupted images and images with complicated background.
实验结果表明,该算法能处理背景复杂和多噪声的图像,具有极高的检测率和精确度。
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