Evidence map›Paper›PMID 34770319›Full record

ArticleSensors (Basel, Switzerland)2021

Multiple Compact Camera Fluorescence Detector for Real-Time PCR Devices.

Seul-Bit-Na Koo, Hyeon-Gyu Chi, Jong-Dae Kim, Yu-Seop Kim, Ji-Sung Park, Chan-Young Park, Deuk-Ju Lee

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Seul-Bit-Na KooSchool of Software, Hallym University, Chuncheon-si 24252, Korea.
Hyeon-Gyu ChiSchool of Software, Hallym University, Chuncheon-si 24252, Korea.
Jong-Dae KimSchool of Software, Hallym University, Chuncheon-si 24252, Korea.
Yu-Seop KimSchool of Software, Hallym University, Chuncheon-si 24252, Korea.
Ji-Sung ParkBiomedux, Suwon 16226, Korea.
Chan-Young ParkSchool of Software, Hallym University, Chuncheon-si 24252, Korea.
Deuk-Ju LeeSchool of Software, Hallym University, Chuncheon-si 24252, Korea.ORCID 0000-0003-3381-0627

Funding

National Research Foundation of Korea 2020R1I1A1A01056628
6 · The paper itself

Abstract

The polymerase chain reaction is an important technique in biological research because it tests for diseases with a small amount of DNA. However, this process is time consuming and can lead to sample contamination. Recently, real-time PCR techniques have emerged which make it possible to monitor the amplification process for each cycle in real time. Existing camera-based systems that measure fluorescence after DNA amplification simultaneously process fluorescence excitation and emission for dozens of tubes. Therefore, there is a limit to the size, cost, and assembly of the optical element. In recent years, imaging devices for high-performance, open platforms have benefitted from significant innovations. In this paper, we propose a fluorescence detector for real-time PCR devices using an open platform camera. This system can reduce the cost, and can be miniaturized. To simplify the optical system, four low-cost, compact cameras were used. In addition, the field of view of the entire tube was minimized by dividing it into quadrants. An effective image processing method was used to compensate for the reduction in the signal-to-noise ratio. Using a reference fluorescence material, it was confirmed that the proposed system enables stable fluorescence detection according to the amount of DNA.

Indexed as

DNANucleic Acid Amplification TechniquesFluorescenceReal-Time Polymerase Chain ReactionSignal-To-Noise RatioDNAfluorescence detectionimage processingopen platformreal-time PCR

Identifiers

PMID34770319
PMCPMC8587052

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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.