An image-to-answer algorithm for fully automated digital PCR image processing

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26620%2F22%3APU145666" target="_blank" >RIV/00216305:26620/22:PU145666 - isvavai.cz</a>

Alternative codes found

RIV/00064165:_____/22:10442785 RIV/00216208:11110/22:10442785

Result on the web

<a href="https://pubs.rsc.org/en/content/articlelanding/2022/LC/D1LC01175H" target="_blank" >https://pubs.rsc.org/en/content/articlelanding/2022/LC/D1LC01175H</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1039/d1lc01175h" target="_blank" >10.1039/d1lc01175h</a>

Result language

angličtina

Original language name

An image-to-answer algorithm for fully automated digital PCR image processing

Original language description

The digital polymerase chain reaction (dPCR) is an irreplaceable variant of PCR techniques due to its capacity for absolute quantification and detection of rare deoxyribonucleic acid (DNA) sequences in clinical samples. Image processing methods, including micro-chamber positioning and fluorescence analysis, determine the reliability of the dPCR results. However, typical methods demand high requirements for the chip structure, chip filling, and light intensity uniformity. This research developed an image-to-answer algorithm with single fluorescence image capture and known image-related error removal. We applied the Hough transform to identify partitions in the images of dPCR chips, the 2D Fourier transform to rotate the image, and the 3D projection transformation to locate and correct the positions of all partitions. We then calculated each partition's average fluorescence amplitudes and generated a 3D fluorescence intensity distribution map of the image. We subsequently corrected the fluorescence non-uniformity between partitions based on the map and achieved statistical results of partition fluorescence intensities. We validated the proposed algorithms using different contents of the target DNA. The proposed algorithm is independent of the dPCR chip structure damage and light intensity non-uniformity. It also provides a reliable alternative to analyze the results of chip-based dPCR systems.

Czech name

—

Czech description

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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

LAB ON A CHIP

ISSN

1473-0197

e-ISSN

1473-0189

Volume of the periodical

22

Issue of the periodical within the volume

7

Country of publishing house

GB - UNITED KINGDOM

Number of pages

11

Pages from-to

1333-1343

UT code for WoS article

000765868800001

EID of the result in the Scopus database

2-s2.0-85124137073