Evidence map›Paper›PMID 24647550›Full record

ArticleLab on a chip2014

Mobile phones democratize and cultivate next-generation imaging, diagnostics and measurement tools.

Aydogan Ozcan

Abstract read
In one paragraph

Article in Lab on a chip, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 89 papers.

0numbers the graph read from it
0cells of the map it votes in
89citing 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

89 citing papers in PubMed.

  1. Review
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  7. Varifocal Meta-Lens for Multifunctional Focusing and Imaging.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  8. Article
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  10. Review
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  13. Nanobiosensing Based on Electro-Optically Modulated Technology.Nanomaterials (Basel, Switzerland) · 2023
    Review
  14. Review
  15. Article
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  18. Article
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  20. Observational

29 more citing papers are in PubMed but not listed here.

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

1 author.

Aydogan OzcanElectrical Engineering Department, University of California, Los Angeles, CA 90095, USA. ozcan@ucla.edu.

Funding

Towards Mega-Throughput, Label-free Genomics and Proteomics: Revolutionizing MicrDP2OD006427 · OD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI OZCAN, AYDOGAN · 2009 to 2009
$2.3M
NIH HHS DP2 OD006427NIH HHS DP2OD006427
6 · The paper itself

Abstract

In this article, I discuss some of the emerging applications and the future opportunities and challenges created by the use of mobile phones and their embedded components for the development of next-generation imaging, sensing, diagnostics and measurement tools. The massive volume of mobile phone users, which has now reached ~7 billion, drives the rapid improvements of the hardware, software and high-end imaging and sensing technologies embedded in our phones, transforming the mobile phone into a cost-effective and yet extremely powerful platform to run, e.g., biomedical tests, and perform scientific measurements that would normally require advanced laboratory instruments. This rapidly evolving and continuing trend will help us transform how medicine, engineering and sciences are practiced and taught globally.

Indexed as

Cell PhoneBiomedical ResearchCost-Benefit AnalysisDiagnostic ImagingEducationHumansScience

Identifiers

PMID24647550
PMCPMC4117730

What OpenQuestion holds

Textmetadata
LicenceTDM
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.