Optics and Precision Engineering, Volume. 29, Issue 9, 2178(2021)
Classification of real-time digital PCR amplification curves
Figures & Tables(10)
Fig. 6. Flow chart of real-time dPCR for negative and positive classification
Fig. 7. Copy numbers comparison between end-point dPCR instrument and our device
Fig. 8. Real-time dPCR amplification curve classification （colored picture）.（1） Fitting of the amplification curve；（2） results of two kinds of types ：red curves stand for positive micro-wells and grey curves stand for negative micro-wells；（3） results of four kinds of types： orange curves refer to false-positive of type I and blue ones are false-positive of type II.
Fig. 9. Compare of real-time dPCR amplification curve classification and threshold segmentation results （colored picture）
Table 1. Comparison of SVM classification and threshold method to identify positive
View tableView in ArticleTable 1. Comparison of SVM classification and threshold method to identify positive
类别 第一组 第二组 第三组 实际阳性点数/个 36 464 3 781 阈值分割法/个 55 473 3 900 SVM二分类/个 37 468 3 835 SVM四分类/个 35 463 3 819 阈值分割法误差 52.78% 1.39% 3.15% 二分类误差 2.78% 0.86% 1.43% 四分类误差 2.78% 0.22% 1.01%
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Yuan-yuan LUO, Jia YAO, Dong-shu LI, Xun-hua ZHU, Shu-li LI, Lian-qun ZHOU, Zhen GUO. Classification of real-time digital PCR amplification curves[J]. Optics and Precision Engineering, 2021, 29(9): 2178
Paper Information
Category: Micro/Nano Technology and Fine Mechanics
Received: Mar. 2, 2021
Accepted: --
Published Online: Nov. 22, 2021
The Author Email: ZHOU Lian-qun (zhoulq@sibet.ac.cn), GUO Zhen (guozhen@sibet.ac.cn)
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