Evidence map›Paper›PMID 24484875›Full record

ReviewCurrent opinion in biotechnology2014

Computational imaging, sensing and diagnostics for global health applications.

Ahmet F Coskun, Aydogan Ozcan

Abstract readReview
In one paragraph

Review in Current opinion in biotechnology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Evaluation of Mobile Phone Performance for Near-Infrared Fluorescence Imaging.IEEE transactions on bio-medical engineering · 2017
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
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

2 authors.

Ahmet F CoskunDepartment of Electrical Engineering, University of California, Los Angeles, CA 90095, United States; Department of Bioengineering, University of California, Los Angeles, CA 90095, United States.
Aydogan OzcanDepartment of Electrical Engineering, University of California, Los Angeles, CA 90095, United States; Department of Bioengineering, University of California, Los Angeles, CA 90095, United States; California NanoSystems Institute (CNSI), University of California, Los Angeles, CA 90095, United States. Electronic address: 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 OD006427
6 · The paper itself

Abstract

In this review, we summarize some of the recent work in emerging computational imaging, sensing and diagnostics techniques, along with some of the complementary non-computational modalities that can potentially transform the delivery of health care globally. As computational resources are becoming more and more powerful, while also getting cheaper and more widely available, traditional imaging, sensing and diagnostic tools will continue to experience a revolution through simplification of their designs, making them compact, light-weight, cost-effective, and yet quite powerful in terms of their performance when compared to their bench-top counterparts.

Indexed as

Cost-Benefit AnalysisDiagnostic ImagingGlobal HealthHumansImage Processing, Computer-Assisted

Identifiers

PMID24484875
PMCPMC3912463

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.