Signal Identification of DNA Amplification Curves in Custom-PCR Platforms
IEEE International Symposium on Circuits and Systems (IEEE ISCAS)
; 2021.
Article
in English
| Web of Science | ID: covidwho-1511237
ABSTRACT
Custom-made, point-of-care PCR platforms are a necessary tool for rapid, point-of-care diagnostics in situations such as the current Covid-19 pandemic. However, a common issue faced by them is noisy fluorescence signals, which consist of a drifting baseline or noisy sigmoidal curve. This makes automated detection difficult and requires human verification. In this paper, we have tried to use nonlinear fitting for automated classification of PCR waveforms to identify whether amplification has taken place or not. We have presented several novel signal reconstruction techniques based on nonlinear fitting which will enable better pre-processing and automated differentiation of a valid or invalid PCR amplification curve. We have also tried to perform this classification at lower PCR cycles to reduce decision times in diagnostic tests.
Full text:
Available
Collection:
Databases of international organizations
Database:
Web of Science
Language:
English
Journal:
IEEE International Symposium on Circuits and Systems (IEEE ISCAS)
Year:
2021
Document Type:
Article
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