Studies on optical calibration of real-time fluorescent quantitative polymerase chain reaction (RTFQ-PCR) analyzer

Yang Xu; Tingting Ren; Lingjian Zeng; Tao Zhang; Yanxiang Fu

doi:10.1117/12.2648396

14 October 2022 Studies on optical calibration of real-time fluorescent quantitative polymerase chain reaction (RTFQ-PCR) analyzer

Yang Xu, Tingting Ren, Lingjian Zeng, Tao Zhang, Yanxiang Fu

Author Affiliations +

Proceedings Volume 12343, 2nd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2022); 123430E (2022) https://doi.org/10.1117/12.2648396
Event: 2nd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2022), 2022, Qingdao, China

Abstract

This article presents a novel design of reference optical simulator and physical calibration method for optical performance evaluation of real-time fluorescent quantitative PCR analyzer in order to substitute for traditional chemical method. The optical simulator is designed according to the working principle, and technical characteristics such as fluorescence peak height consistency among channels, linear sensitivity factor, fluorescence intensity repeatability, and linear correlation coefficient of fluorescence of real-time fluorescent quantitative PCR analyzer.The calibration results of 5 typical types of real-time fluorescent quantitative PCR analyzers show that the reference optical simulator presented in this article can well simulate different fluorescent dyes. The reference optical simulator can meet the requirements of fluorescent intensity calibration for real-time fluorescent quantitative PCR analyzers with the advantages of good applicability, high convenience and accurate and reliable measurement results.

Citation Download Citation

Yang Xu, Tingting Ren, Lingjian Zeng, Tao Zhang, and Yanxiang Fu "Studies on optical calibration of real-time fluorescent quantitative polymerase chain reaction (RTFQ-PCR) analyzer", Proc. SPIE 12343, 2nd International Conference on Laser, Optics and Optoelectronic Technology (LOPET 2022), 123430E (14 October 2022); https://doi.org/10.1117/12.2648396

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