Evidence map›Paper›PMID 30424160›Full record

ArticleMicromachines2018

High-Precision Lens-Less Flow Cytometer on a Chip.

Yuan Fang, Ningmei Yu, Yuquan Jiang, Chaoliang Dang

Open access · goldAbstract read
In one paragraph

Article in Micromachines, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.4field-weighted citation impact, top 11% of its field
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

7 citing papers in PubMed, 23 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Yuan FangSchool of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, China. fangyuanmy@163.com.ORCID 0000-0002-5138-3895
Ningmei YuSchool of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, China. yunm@xaut.edu.cn.
Yuquan JiangSchool of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, China. yqjiang@xaut.edu.cn.
Chaoliang DangSchool of Automation and Information Engineering, Xi'an University of Technology, Xi'an 710048, China. dangclkk@163.com.
Xi'an University of Technology · CNBaoji University of Arts and Sciences · CN

Funding

key research project of Baoji University of Arts and Sciences 209010439National Natural Science Foundation of China 61471296National Natural Science Foundation of China 61771388
6 · The paper itself

Abstract

We present a flow cytometer on a microfluidic chip that integrates an inline lens-free holographic microscope. High-speed cell analysis necessitates that cells flow through the microfluidic channel at a high velocity, but the image sensor of the in-line holographic microscope needs a long exposure time. Therefore, to solve this problem, this paper proposes an S-type micro-channel and a pulse injection method. To increase the speed and accuracy of the hologram reconstruction, we improve the iterative initial constraint method and propose a background removal method. The focus images and cell concentrations can be accurately calculated by the developed method. Using whole blood cells to test the cell counting precision, we find that the cell counting error of the proposed method is less than 2%. This result shows that the on-chip flow cytometer has high precision. Due to its low price and small size, this flow cytometer is suitable for environments far away from laboratories, such as underdeveloped areas and outdoors, and it is especially suitable for point-of-care testing (POCT).

Indexed as

cell analysislens-lessmicrofluidic chipPOCTtwin-image removal

Identifiers

PMID30424160
PMCPMC6187443
OpenAlexW2799531525

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.