Evidence map›Paper›PMID 30104197›Full record

ReviewCold Spring Harbor perspectives in medicine2019

Microscale and Nanoscale Electrophotonic Diagnostic Devices.

Kaiyu Fu, Wei Xu, Jiayun Hu, Arielle Lopez, Paul W Bohn

Abstract readReview
In one paragraph

Review in Cold Spring Harbor perspectives in medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Spatiotemporal Dynamics of Molecular Messaging in Bacterial Co-Cultures Studied by Multimodal Chemical Imaging.Proceedings of SPIE--the International Society for Optical Engineering · 2019
    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

5 authors.

Kaiyu FuDepartment of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, Indiana 46556.
Wei XuAdvanced Light Source, Lawrence Berkeley National Laboratory, Berkeley, California 94720.
Jiayun HuDepartment of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, Indiana 46556.
Arielle LopezDepartment of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, Indiana 46556.
Paul W BohnDepartment of Chemistry and Biochemistry, University of Notre Dame, Notre Dame, Indiana 46556.

Funding

Characterization of Biofilms by Correlated Mass Spectrometric and Raman ImagingR01AI113219 · NIAID · UNIVERSITY OF NOTRE DAME · PI SHROUT, JOSHUA · 2014 to 2023
$4.7M
NIAID NIH HHS R01 AI113219
6 · The paper itself

Abstract

Detecting and identifying infectious agents and potential pathogens in complex environments and characterizing their mode of action is a critical need. Traditional diagnostics have targeted a single characteristic (e.g., spectral response, surface receptor, mass, intrinsic conductivity, etc.). However, advances in detection technologies have identified emerging approaches in which multiple modes of action are combined to obtain enhanced performance characteristics. Particularly appealing in this regard, electrophotonic devices capable of coupling light to electron translocation have experienced rapid recent growth and offer significant advantages for diagnostics. In this review, we explore three specific promising approaches that combine electronics and photonics: (1) assays based on closed bipolar electrochemistry coupling electron transfer to color or fluorescence, (2) sensors based on localized surface plasmon resonances, and (3) emerging nanophotonics approaches, such as those based on zero-mode waveguides and metamaterials.

Indexed as

Point-of-Care SystemsSurface Plasmon ResonanceElectrochemistryElectronicsHumansNanotechnologyOptics and Photonics

Identifiers

PMID30104197
PMCPMC6417966

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.