Evidence map›Paper›PMID 30477222›Full record

ArticleMicromachines2018

Microfabrication of Micropore Array for Cell Separation and Cell Assay.

Yaoping Liu, Han Xu, Lingqian Zhang, Wei Wang

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. 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, top 86% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

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

4 authors at 4 institutions in 1 country.

Yaoping LiuInstitute of Microelectronics, Peking University, Beijing 100871, China. yaopingliu@pku.edu.cn.
Han XuInstitute of Microelectronics, Peking University, Beijing 100871, China. h.xu@pku.edu.cn.
Lingqian ZhangInstitute of Microelectronics, Peking University, Beijing 100871, China. zlqpku@gmail.com.
Wei WangInstitute of Microelectronics, Peking University, Beijing 100871, China. w.wang@pku.edu.cn.
Chinese Academy of Sciences · CNInstitute of Microelectronics · CNNational Center for Nanoscience and Technology · CNPeking University · CN

Funding

National Natural Science Foundation of China 81611540352, 81471750 and U1613215Natural Science Foundation of Beijing Municipality 4172028 and L172005Postdoctoral Science Foundation of China 2018M631261the Advanced Research Program of the Ministry of Education 6141A02033604the Seeding Grant for Medicine and Information Sciencesawarded by Peking University 2018-MI-03
6 · The paper itself

Abstract

Micropore arrays have attracted a substantial amount of attention due to their strong capability to separate specific cell types, such as rare tumor cells, from a heterogeneous sample and to perform cell assays on a single cell level. Micropore array filtration has been widely used in rare cell type separation because of its potential for a high sample throughput, which is a key parameter for practical clinical applications. However, most of the present micropore arrays suffer from a low throughput, resulting from a low porosity. Therefore, a robust microfabrication process for high-porosity micropore arrays is urgently demanded. This study investigated four microfabrication processes for micropore array preparation in parallel. The results revealed that the Parylene-C molding technique with a silicon micropillar array as the template is the optimized strategy for the robust preparation of a large-area and high-porosity micropore array, along with a high size controllability. The Parylene-C molding technique is compatible with the traditional micromechanical system (MEMS) process and ready for scale-up manufacture. The prepared Parylene-C micropore array is promising for various applications, such as rare tumor cell separation and cell assays in liquid biopsy for cancer precision medicine.

Indexed as

cell assaycell separationmicropore arraymoldingParylene-C

Identifiers

PMID30477222
PMCPMC6315758
OpenAlexW2902486579

What OpenQuestion holds

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LicenceCC BY
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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.