Evidence map›Paper›PMID 28113231›Full record

ArticleIEEE transactions on bio-medical engineering2017

Evaluation of Mobile Phone Performance for Near-Infrared Fluorescence Imaging.

Pejhman Ghassemi, Bohan Wang, Jianting Wang, Quanzeng Wang, Yu Chen, T Joshua Pfefer

Abstract readEvaluation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in IEEE transactions on bio-medical engineering, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
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  8. Article
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  10. Article
  11. Article
  12. Article
  13. Article
  14. Smartphone Spectrometers.Sensors (Basel, Switzerland) · 2018
    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

6 authors.

Pejhman GhassemiCenter for Devices and Radiological HealthFood and Drug Administration.
Bohan WangDepartment of Electrical and Computer EngineeringUniversity of Maryland.
Jianting WangCenter for Devices and Radiological HealthFood and Drug Administration.
Quanzeng WangCenter for Devices and Radiological HealthFood and Drug Administration.
Yu ChenFischell Department of BioengineeringUniversity of Maryland.
T Joshua PfeferCenter for Devices and Radiological Health, Food and Drug Administration, Silver Spring, MD, USA.

Funding

Intramural FDA HHS FD999999
6 · The paper itself

Abstract

We have investigated the potential for contrast-enhanced near-infrared fluorescence imaging of tissue on a mobile phone platform. Charge-coupled device- and phone-based cameras were used to image molded and three-dimensional-printed tissue phantoms, and an ex vivo animal model. Quantitative and qualitative evaluations of image quality demonstrate the viability of this approach and elucidate variations in performance due to wavelength, pixel color, and image processing.

Indexed as

Mobile ApplicationsSmartphoneEquipment DesignEquipment Failure AnalysisImage Interpretation, Computer-AssistedInfrared RaysLightingMicroscopy, FluorescencePhantoms, ImagingPhotographyReproducibility of ResultsSensitivity and SpecificitySignal Processing, Computer-AssistedUser-Computer Interface

Identifiers

PMID28113231
PMCPMC5360525

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.