Evidence map›Paper›PMID 31109061›Full record

ArticleSensors (Basel, Switzerland)2019

An Alternative Approach to Detecting Cancer Cells by Multi-Directional Fluorescence Detection System Using Cost-Effective LED and Photodiode.

Kyoungrae Cho, Jeong-Hyeok Seo, Gyeongyong Heo, Se-Woon Choe

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Kyoungrae ChoDepartment of Medical IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39253, Korea. jkl6464@kumoh.ac.kr.
Jeong-Hyeok SeoDepartment of Medical IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39253, Korea. whiteneco@yonsei.ac.kr.
Gyeongyong HeoDepartment of Electronic Engineering, Dong-eui University, Busan 47340, Korea. hgycap@deu.ac.kr.
Se-Woon ChoeDepartment of Medical IT Convergence Engineering, Kumoh National Institute of Technology, Gumi 39253, Korea. sewoon@kumoh.ac.kr.ORCID 0000-0002-7298-4147

Funding

Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education NRF-2016R1D1A1B03934950
6 · The paper itself

Abstract

The enumeration of cellular proliferation by covering from hemocytometer to flow cytometer is an important procedure in the study of cancer development. For example, hemocytometer has been popularly employed to perform manual cell counting. It is easily achieved at a low-cost, however, manual cell counting is labor-intensive and prone to error for a large number of cells. On the other hand, flow cytometer is a highly sophisticated instrument in biomedical and clinical research fields. It provides detailed physical parameters of fluorescently labeled single cells or micro-sized particles depending on the fluorescence characteristics of the target sample. Generally, optical setup to detect fluorescence uses a laser, dichroic filter, and photomultiplier tube as a light source, optical filter, and photodetector, respectively. These components are assembled to set up an instrument to measure the amount of scattering light from the target particle; however, these components are costly, bulky, and have limitations in selecting diverse fluorescence dyes. Moreover, they require multiple refined and expensive modules such as cooling or pumping systems. Thus, alternative cost-effective components have been intensively developed. In this study, a low-cost and miniaturized fluorescence detection system is proposed, i.e., costing less than 100 US dollars, which is customizable by a 3D printer and light source/filter/sensor operating at a specific wavelength using a light-emitting diode with a photodiode, which can be freely replaceable. The fluorescence detection system can quantify multi-directional scattering lights simultaneously from the fluorescently labeled cervical cancer cells. Linear regression was applied to the acquired fluorescence intensities, and excellent linear correlations (

Indexed as

Biosensing TechniquesCell TrackingCost-Benefit AnalysisFlow CytometryFluorescenceHeLa CellsHumansNeoplasmsPrinting, Three-Dimensionalcancer cellsfluorescence detection systemlight-emitting diodephotodiode

Identifiers

PMID31109061
PMCPMC6566952

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.