Evidence map›Paper›PMID 30396355›Full record

ArticleBiomedical engineering online2018

A study of polymerase chain reaction device control via cloud using Firebase Cloud Messaging protocol.

Jong-Dae Kim, So-Yeon Lee, Yu-Seop Kim, Hye-Jeong Song, Chan-Young Park

Abstract read
In one paragraph

Article in Biomedical engineering online, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Jong-Dae KimDepartment of Convergence Software, Hallym University, 1, Hallymdaehak-gil, Chuncheon, Republic of Korea.
So-Yeon LeeDepartment of Convergence Software, Hallym University, 1, Hallymdaehak-gil, Chuncheon, Republic of Korea.
Yu-Seop KimDepartment of Convergence Software, Hallym University, 1, Hallymdaehak-gil, Chuncheon, Republic of Korea.
Hye-Jeong SongDepartment of Convergence Software, Hallym University, 1, Hallymdaehak-gil, Chuncheon, Republic of Korea.
Chan-Young ParkDepartment of Convergence Software, Hallym University, 1, Hallymdaehak-gil, Chuncheon, Republic of Korea. cypark@hallym.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn this paper, we propose a system for data monitoring and control of polymerase chain reaction (PCR) externally. PCR is a technique for amplifying a desired DNA molecule by repeatedly synthesizing a specific part of DNA sequence. Currently, commercially available systems are standalone systems or operate PCR devices through a computer in the vicinity of devices for control purposes. These systems are limited in the number of devices that the host system can monitor at the same time, and there are limitations in controlling devices or accessing experimental data externally. Therefore, we propose a system to control the PCR device via the cloud for the convenience of the user and to overcome the limitation of the place.

methodsThe cloud system used in this study is Google's Firebase. At this time, we use Firebase Cloud Messaging (FCM) protocol to send and receive data. In this paper, we have experimented on the possibility of data transmission and reception using FCM between device, cloud and user. Since the PCR chips used in the research are generally operated at about 10°/s, and the temperature can be controlled within 0.5°, the processing period of the control process should be made much smaller than 1/20 s (50 ms).

resultsAs a result of experiments, the time of the data round-trip using FCM was measured at 150 ms on the average. Therefore, the data exchange time using FCM is three times slower than the reference time of 50 ms.

conclusionsSince the data round-trip time using FCM is measured to be three times slower than the reference time of 50 ms, it is impossible for the user to control the device such as the PCR device used in this study through the cloud. However, it is possible for the user to monitor the status of the PCR device from the outside in real time.

Indexed as

Cloud ComputingComputer SecurityPolymerase Chain ReactionTime FactorsCloud computingFirebase Cloud Messaging (FCM)Internet of Things (IoT)Polymerase chain reaction (PCR)Realtime monitoring

Identifiers

PMID30396355
PMCPMC6219053

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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.