Evidence map›Paper›PMID 24926391›Full record

ArticleBiomicrofluidics2014

High-efficiency rare cell identification on a high-density self-assembled cell arrangement chip.

Tsung-Ju Chen, Jen-Kuei Wu, Yu-Cheng Chang, Chien-Yu Fu, Tsung-Pao Wang, Chun-Yen Lin, Hwan-You Chang, Ching-Chang Chieng, Chung-Yuh Tzeng, Fan-Gang Tseng

Open access · greenAbstract read
In one paragraph

Article in Biomicrofluidics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

5 citing papers in PubMed, 9 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

10 authors at 3 institutions in 2 countries.

Tsung-Ju ChenInstitute of NanoEngineering and MicroSystems, National Tsing Hua University, Hsinchu 30013, Taiwan.
Jen-Kuei WuDepartment of Engineering and System Science, National Tsing Hua University, Hsinchu 30013, Taiwan.
Yu-Cheng ChangDepartment of Engineering and System Science, National Tsing Hua University, Hsinchu 30013, Taiwan.
Chien-Yu FuInstitute of Molecular Medicine, National Tsing Hua University, Kuang-Fu Road, Hsinchu 30013, Taiwan.
Tsung-Pao WangInstitute of Molecular Medicine, National Tsing Hua University, Kuang-Fu Road, Hsinchu 30013, Taiwan.
Chun-Yen LinInstitute of Molecular Medicine, National Tsing Hua University, Kuang-Fu Road, Hsinchu 30013, Taiwan.
Hwan-You ChangInstitute of Molecular Medicine, National Tsing Hua University, Kuang-Fu Road, Hsinchu 30013, Taiwan.
Ching-Chang ChiengDepartment of Mechanical and Biomedical Engineering, City University of Hong Kong, Kowloon, Hong Kong.
Chung-Yuh TzengDepartment of Orthopedics, Taichung Veterans General Hospital, Taichung, Taiwan.
Fan-Gang TsengDepartment of Engineering and System Science, National Tsing Hua University, Hsinchu 30013, Taiwan ; Academia Sinica, National Tsing Hua University, Taipei 115, Taiwan.
National Tsing Hua University · TWCity University of Hong Kong · HKTaichung Veterans General Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detection of individual target cells among a large amount of blood cells is a major challenge in clinical diagnosis and laboratory protocols. Many researches show that two dimensional cells array technology can be incorporated into routine laboratory procedures for continuously and quantitatively measuring the dynamic behaviours of large number of living cells in parallel, while allowing other manipulations such as staining, rinsing, and even retrieval of targeted cells. In this study, we present a high-density cell self-assembly technology capable of quickly spreading over 300 000 cells to form a dense mono- to triple-layer cell arrangement in 5 min with minimal stacking of cells by the gentle incorporation of gravity and peripheral micro flow. With this self-assembled cell arrangement (SACA) chip technology, common fluorescent microscopy and immunofluorescence can be utilized for detecting and analyzing target cells after immuno-staining. Validated by experiments with real human peripheral blood samples, the SACA chip is suitable for detecting rare cells in blood samples with a ratio lower than 1/100 000. The identified cells can be isolated and further cultured in-situ on a chip for follow-on research and analysis. Furthermore, this technology does not require external mechanical devices, such as pump and valves, which simplifies operation and reduces system complexity and cost. The SACA chip offers a high-efficient, economical, yet simple scheme for identification and analysis of rare cells. Therefore, potentially SACA chip may provide a feasible and economical platform for rare cell detection in the clinic.

Identifiers

PMID24926391
PMCPMC4032428
OpenAlexW2040502552

What OpenQuestion holds

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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.