Evidence map›Paper›PMID 30424208›Full record

ArticleMicromachines2018

Developing a MEMS Device with Built-in Microfluidics for Biophysical Single Cell Characterization.

Yuki Takayama, Grégoire Perret, Momoko Kumemura, Manabu Ataka, Samuel Meignan, Stanislav L Karsten, Hiroyuki Fujita, Dominique Collard, Chann Lagadec, Mehmet Cagatay Tarhan

Abstract 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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. A microfluidic rheometer for tumor mechanics and invasion studies.bioRxiv : the preprint server for biology · 2025
    Article
  3. Review
  4. Article
  5. Review
  6. Article
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  8. Review
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.

Yuki TakayamaLaboratory for Integrated Micro Mechatronic Systems (LIMMS/CNRS-IIS), Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan. yktkym@iis.u-tokyo.ac.jp.
Grégoire PerretLaboratory for Integrated Micro Mechatronic Systems (LIMMS/CNRS-IIS), Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan. gperret@iis.u-tokyo.ac.jp.
Momoko KumemuraGraduate School of Life Science and Systems Engineering, Kyushu Institute of Technology, 2-4 Hibikino, Wakamatsu-ku, Kitakyushu-shi, Fukuoka 808-0196, Japan. momo@life.kyutech.ac.jp.
Manabu AtakaCNRS/IIS/COL/Lille University SMMiL-E Project, CNRS Délégation Nord-Pas de Calais et Picardie, 2 rue de Canonniers, Lille, Cedex 59046, France. ataka@iis.u-tokyo.ac.jp.
Samuel MeignanTumorigenesis and Resistance to Treatment Unit, Centre Oscar Lambret, Université de Lille, 3 rue Frédéric Combemale, 59000 Lille, France. s-meignan@o-lambret.fr.
Stanislav L KarstenNeuroInDx, Inc., 20725 S Western Ave #100, Torrance, CA 90501, USA. skarsten@neuroindx.com.ORCID 0000-0001-7387-4874
Hiroyuki FujitaCNRS/IIS/COL/Lille University SMMiL-E Project, CNRS Délégation Nord-Pas de Calais et Picardie, 2 rue de Canonniers, Lille, Cedex 59046, France. hfujita@iis.u-tokyo.ac.jp.
Dominique CollardLaboratory for Integrated Micro Mechatronic Systems (LIMMS/CNRS-IIS), Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan. collard@iis.u-tokyo.ac.jp.
Chann LagadecCNRS/IIS/COL/Lille University SMMiL-E Project, CNRS Délégation Nord-Pas de Calais et Picardie, 2 rue de Canonniers, Lille, Cedex 59046, France. chann.lagadec@inserm.fr.ORCID 0000-0002-5182-2069
Mehmet Cagatay TarhanLaboratory for Integrated Micro Mechatronic Systems (LIMMS/CNRS-IIS), Institute of Industrial Science, The University of Tokyo, 4-6-1 Komaba, Meguro-ku, Tokyo 153-8505, Japan. cagatay.tarhan@isen-lille.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study combines the high-throughput capabilities of microfluidics with the sensitive measurements of microelectromechanical systems (MEMS) technology to perform biophysical characterization of circulating cells for diagnostic purposes. The proposed device includes a built-in microchannel that is probed by two opposing tips performing compression and sensing separately. Mechanical displacement of the compressing tip (up to a maximum of 14 µm) and the sensing tip (with a quality factor of 8.9) are provided by two separate comb-drive actuators, and sensing is performed with a capacitive displacement sensor. The device is designed and developed for simultaneous electrical and mechanical measurements. As the device is capable of exchanging the liquid inside the channel, different solutions were tested consecutively. The performance of the device was evaluated by introducing varying concentrations of glucose (from 0.55 mM (0.1%) to 55.5 mM (10%)) and NaCl (from 0.1 mM to 10 mM) solutions in the microchannel and by monitoring changes in the mechanical and electrical properties. Moreover, we demonstrated biological sample handling by capturing single cancer cells. These results show three important capabilities of the proposed device: mechanical measurements, electrical measurements, and biological sample handling. Combined in one device, these features allow for high-throughput multi-parameter characterization of single cells.

Indexed as

bioMEMSbiophysical cell characterizationMEMS designmicrofluidicssingle cell analysis

Identifiers

PMID30424208
PMCPMC6187549

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.