Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Real Time RT-PCR

Real Time RT-PCR

Real-time reverse transcription-polymerase chain reaction, or Real-time RT-PCR, is an analytical tool used to determine the expression level of target genes. The method involves converting mRNA to complementary DNA with the help of an enzyme known as reverse transcriptase, followed by the PCR amplification of the cDNA. These two processes can be performed simultaneously in a single tube or separately as a two-step reaction.
The real-time quantification of the number of amplified products is...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Salicylic acid signaling integrates immunity and metabolic regulation to govern nonhost resistance in potato against Phytophthora capsici.

Plant science : an international journal of experimental plant biology·2026

Same author

Combined application of nano-magnesium oxide and humic acid improves potato drought tolerance and soil health.

BMC plant biology·2026

Same author

Freezing pre-trained parameters of encoders for denoisers: Expanding pixel involvement and filtering out high-frequency noise.

Neural networks : the official journal of the International Neural Network Society·2026

Same author

Synergistic electromagnetic and chemical enhancement in a flexible S-doped carbon nitride-based SERS substrate for chemometric analysis of pesticides.

Journal of hazardous materials·2026

Same author

Injectable carbon dioxide controlled releasing and photothermal carboxymethyl chitosan-alginate-black tea carbon hydrogel dressing for diabetic wound healing.

Regenerative biomaterials·2026

Same author

Machine Learning Accurate Exchange-Correlation Potentials for Reducing Delocalization Error in Density Functional Theory.

JACS Au·2025

Search research articles

Related Experiment Video

Updated: Sep 28, 2025

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

Published on: May 10, 2024

A new dynamic deep learning noise elimination method for chip-based real-time PCR.

Beini Zhang¹, Yiteng Liu², Qi Song³

¹Advanced Materials Thrust, Department of Physics, Hong Kong University of Science and Technology, Guangzhou, 511458, China.

Analytical and Bioanalytical Chemistry

|April 2, 2022

Summary

A new Dynamic Deep Learning Noise Elimination Method (DIPLOID) significantly improves point-of-care (POC) real-time polymerase chain reaction (PCR) accuracy. This advanced algorithm effectively removes complex noise, enhancing pathogen detection and water quality monitoring reliability.

Keywords:

Deep learning Noise elimination PCR Point-of-care

More Related Videos

Detection of a CDH1 Rare Transcript Variant in Fresh-frozen Gastric Cancer Tissues by Chip-based Digital PCR

Detection of a CDH1 Rare Transcript Variant in Fresh-frozen Gastric Cancer Tissues by Chip-based Digital PCR

Published on: February 5, 2018

High Throughput MicroRNA Profiling: Optimized Multiplex qRT-PCR at Nanoliter Scale on the Fluidigm Dynamic ArrayTM IFCs

High Throughput MicroRNA Profiling: Optimized Multiplex qRT-PCR at Nanoliter Scale on the Fluidigm Dynamic ArrayTM IFCs

Published on: August 3, 2011

Related Experiment Videos

Last Updated: Sep 28, 2025

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

DNA Virus Detection System Based on RPA-CRISPR/Cas12a-SPM and Deep Learning

Published on: May 10, 2024

Detection of a CDH1 Rare Transcript Variant in Fresh-frozen Gastric Cancer Tissues by Chip-based Digital PCR

Detection of a CDH1 Rare Transcript Variant in Fresh-frozen Gastric Cancer Tissues by Chip-based Digital PCR

Published on: February 5, 2018

High Throughput MicroRNA Profiling: Optimized Multiplex qRT-PCR at Nanoliter Scale on the Fluidigm Dynamic ArrayTM IFCs

High Throughput MicroRNA Profiling: Optimized Multiplex qRT-PCR at Nanoliter Scale on the Fluidigm Dynamic ArrayTM IFCs

Published on: August 3, 2011

Area of Science:

Biotechnology
Medical Diagnostics
Environmental Monitoring

Background:

Point-of-care (POC) real-time polymerase chain reaction (PCR) is crucial for pathogen detection and water quality analysis.
Small-volume chambers in POC devices lead to complex noise, compromising accuracy.
Traditional noise elimination methods are inadequate for complex, random noise patterns.

Purpose of the Study:

To develop a novel image analysis method for eliminating complex noise in POC real-time PCR.
To enhance the accuracy, sensitivity, and specificity of POC real-time PCR.
To improve the robustness and anti-interference capabilities of POC real-time PCR.

Main Methods:

Proposed a Dynamic Deep Learning Noise Elimination Method (DIPLOID).
Utilized Mask R-CNN to identify and mask interference.
Employed dynamic programming for brightness analysis after noise subtraction.

Main Results:

DIPLOID significantly improved accuracy from 57.9% to 94.6%.
Sensitivity increased from 49.1% to 93.9%, and specificity from 65.9% to 95.2%.
Achieved over 94% accuracy in complex noise conditions.

Conclusions:

DIPLOID effectively reduces the impact of complex noise in POC real-time PCR.
The method demonstrates strong anti-interference, robustness, and sensitivity.
Enhanced POC real-time PCR performance holds significant potential for future applications.