Evidence map›Paper›PMID 34178202›Full record

ReviewBiomicrofluidics2021

Non-invasive acquisition of mechanical properties of cells via passive microfluidic mechanisms: A review.

Zhenghua Li, Xieliu Yang, Qi Zhang, Wenguang Yang, Hemin Zhang, Lianqing Liu, Wenfeng Liang

Abstract readReview
In one paragraph

Review in Biomicrofluidics, 2021. 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
–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

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

7 authors.

Zhenghua LiSchool of Mechanical Engineering, Shenyang Jianzhu University, Shenyang 110168, China.ORCID 0000-0001-9173-8446
Xieliu YangSchool of Mechanical Engineering, Shenyang Jianzhu University, Shenyang 110168, China.
Qi ZhangSchool of Mechanical Engineering, Shenyang Jianzhu University, Shenyang 110168, China.
Wenguang YangSchool of Electromechanical and Automotive Engineering, Yantai University, Yantai 264005, China.
Hemin ZhangDepartment of Neurology, The People's Hospital of Liaoning Province, Shenyang 110016, China.
Lianqing LiuState Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China.
Wenfeng LiangSchool of Mechanical Engineering, Shenyang Jianzhu University, Shenyang 110168, China.ORCID 0000-0002-6605-2511

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The demand to understand the mechanical properties of cells from biomedical, bioengineering, and clinical diagnostic fields has given rise to a variety of research studies. In this context, how to use lab-on-a-chip devices to achieve accurate, high-throughput, and non-invasive acquisition of the mechanical properties of cells has become the focus of many studies. Accordingly, we present a comprehensive review of the development of the measurement of mechanical properties of cells using passive microfluidic mechanisms, including constriction channel-based, fluid-induced, and micropipette aspiration-based mechanisms. This review discusses how these mechanisms work to determine the mechanical properties of the cell as well as their advantages and disadvantages. A detailed discussion is also presented on a series of typical applications of these three mechanisms to measure the mechanical properties of cells. At the end of this article, the current challenges and future prospects of these mechanisms are demonstrated, which will help guide researchers who are interested to get into this area of research. Our conclusion is that these passive microfluidic mechanisms will offer more preferences for the development of lab-on-a-chip technologies and hold great potential for advancing biomedical and bioengineering research studies.

Identifiers

PMID34178202
PMCPMC8205512

What Socratic holds

Textmetadata
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 Socratic graph.