Evidence map›Paper›PMID 34638181›Full record

ArticleGenomics & informatics2021

High-accuracy quantitative principle of a new compact digital PCR equipment: Lab On An Array.

Haeun Lee, Cherl-Joon Lee, Dong Hee Kim, Chun-Sung Cho, Wonseok Shin, Kyudong Han

Abstract read
In one paragraph

Article in Genomics & informatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Haeun LeeDepartment of Bioconvergence Engineering, Dankook University, Yongin 16890, Korea.
Cherl-Joon LeeDepartment of Bioconvergence Engineering, Dankook University, Yongin 16890, Korea.
Dong Hee KimDepartment of Anesthesiology and Pain Management, Dankook University Hospital, Cheonan 31116, Korea.
Chun-Sung ChoDepartment of Neurosurgery, Dankook University College of Medicine, Cheonan 31116, Korea.
Wonseok ShinNGS Clinical Laboratory, Dankook University Hospital, Cheonan 31116, Korea.
Kyudong HanDepartment of Bioconvergence Engineering, Dankook University, Yongin 16890, Korea.

Funding

Research-Focused Department Promotion Project as a part of the University Innovation Support Program for Dankook University
6 · The paper itself

Abstract

Digital PCR (dPCR) is the third-generation PCR that enables real-time absolute quantification without reference materials. Recently, global diagnosis companies have developed new dPCR equipment. In line with the development, the Lab On An Array (LOAA) dPCR analyzer (Optolane) was launched last year. The LOAA dPCR is a semiconductor chip-based separation PCR type equipment. The LOAA dPCR includes Micro Electro Mechanical System that can be injected by partitioning the target gene into 56 to 20,000 wells. The amount of target gene per wells is digitized to 0 or 1 as the number of well gradually increases to 20,000 wells because its principle follows Poisson distribution, which allows the LOAA dPCR to perform precise absolute quantification. LOAA determined region of interest first prior to dPCR operation. To exclude invalid wells for the quantification, the LOAA dPCR has applied various filtering methods using brightness, slope, baseline, and noise filters. As the coronavirus disease 2019 has now spread around the world, needs for diagnostic equipment of point of care testing (POCT) are increasing. The LOAA dPCR is expected to be suitable for POCT diagnosis due to its compact size and high accuracy. Here, we describe the quantitative principle of the LOAA dPCR and suggest that it can be applied to various fields.

Indexed as

digital PCRLOAA dPCRMicro Electro Mechanical Systempoint of care testingPoisson distribution

Identifiers

PMID34638181
PMCPMC8510877

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.