Evidence map›Paper›PMID 29755636›Full record

ArticleBiomicrofluidics2018

Microfluidic chip for non-invasive analysis of tumor cells interaction with anti-cancer drug doxorubicin by AFM and Raman spectroscopy.

Han Zhang, Lifu Xiao, Qifei Li, Xiaojun Qi, Anhong Zhou

Open access · bronzeAbstract read
In one paragraph

Article in Biomicrofluidics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

20 citing papers in PubMed, 38 citations in OpenAlex.

  1. Review
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  7. Breaking the mold: 3D cell cultures reshaping the future of cancer research.Frontiers in cell and developmental biology · 2024
    Review
  8. Article
  9. The Applications and Challenges of the Development ofCellular and molecular bioengineering · 2023
    Review
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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

5 authors at 1 institution in 1 country.

Han ZhangDepartment of Biological Engineering, Utah State University, 4105 Old Main Hill, Logan, Utah 84322, USA.
Lifu XiaoDepartment of Biological Engineering, Utah State University, 4105 Old Main Hill, Logan, Utah 84322, USA.ORCID 0000-0002-0320-2076
Qifei LiDepartment of Biological Engineering, Utah State University, 4105 Old Main Hill, Logan, Utah 84322, USA.
Xiaojun QiDepartment of Computer Science, Utah State University, 4205 Old Main Hill, Logan, Utah 84322, USA.
Anhong ZhouDepartment of Biological Engineering, Utah State University, 4105 Old Main Hill, Logan, Utah 84322, USA.
Utah State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Raman spectroscopy has been playing an increasingly significant role for cell classification. Here, we introduce a novel microfluidic chip for non-invasive Raman cell natural fingerprint collection. Traditional Raman spectroscopy measurement of the cells grown in a Polydimethylsiloxane (PDMS) based microfluidic device suffers from the background noise from the substrate materials of PDMS when intended to apply as an

Identifiers

PMID29755636
PMCPMC5924378
OpenAlexW2802272746

What OpenQuestion 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 OpenQuestion graph.