Digital PCR system development accelerator-A methodology to emulate dPCR results

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26620%2F22%3APU147286" target="_blank" >RIV/00216305:26620/22:PU147286 - isvavai.cz</a>

Alternative codes found

RIV/00064165:_____/22:10448751 RIV/00216208:11110/22:10448751

Result on the web

<a href="https://www.sciencedirect.com/science/article/pii/S0925400522001691?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0925400522001691?via%3Dihub</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.snb.2022.131527" target="_blank" >10.1016/j.snb.2022.131527</a>

Result language

angličtina

Original language name

Digital PCR system development accelerator-A methodology to emulate dPCR results

Original language description

The development of a digital polymerase chain reaction (dPCR) system typically begins with an idea for the system configuration and chip layout, followed by design, fabrication, and hardware testing. The image processing software can be developed and verified based on the test results. In this paper, we proposed a dPCR emulation methodology to train the developed image processing software before building the dPCR system hardware. We developed a script in a MATLAB environment to generate artificial dPCR images and emulate the dPCR results. First, we defined the number of parameters corresponding to the emulated results, such as the number of partitions with targets, background fluorescence distribution and intensity, image defects, image rotation angle, shift, non-uniform light distribution, and temperature sensitivity. We then implemented the defined parameters and generated an artificial dPCR chip image based on layout design or pattern recognition algorithm. Finally, we obtained a dataset from the artificial image for subsequent result analysis. The generated images could then be used to train the image processing algorithms based on the requirements. We verified the proposed method using various designs of dPCR chips from recently published papers, demonstrating the method's versatility. The proposed method also demonstrated the capability for separating the software and hardware development. Thus, our method allowed the image processing and hardware to be concurrently designed and tested simplifying and speeding up the dPCR system development.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10405 - Electrochemistry (dry cells, batteries, fuel cells, corrosion metals, electrolysis)

Project

<a href="/en/project/LTACH19005" target="_blank" >LTACH19005: High Precision Digital PCR for cfDNA Detection in Noninvasive Prenatal Testing (NIPT) Applications</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Sensors and Actuators B: Chemical

ISSN

0925-4005

e-ISSN

—

Volume of the periodical

358

Issue of the periodical within the volume

131527

Country of publishing house

CH - SWITZERLAND

Number of pages

10

Pages from-to

„“-„“

UT code for WoS article

000860657000007

EID of the result in the Scopus database

2-s2.0-85124169022