Evidence map›Paper›PMID 31531917›Full record

ReviewAngewandte Chemie (International ed. in English)2020

Surface Plasmon Resonance Microscopy: From Single-Molecule Sensing to Single-Cell Imaging.

Xiao-Li Zhou, Yunze Yang, Shaopeng Wang, Xian-Wei Liu

Abstract readReview
In one paragraph

Review in Angewandte Chemie (International ed. in English), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing 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

55 citing papers in PubMed.

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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

4 authors.

Xiao-Li ZhouCAS Key Laboratory of Urban Pollutant Conversion, Department of Applied Chemistry, University of Science & Technology of China, Hefei, 230026, China.
Yunze YangCenter for Biosensors and Bioelectronics, Biodesign Institute, Arizona State University, Tempe, AZ, 85287, USA.
Shaopeng WangCenter for Biosensors and Bioelectronics, Biodesign Institute, Arizona State University, Tempe, AZ, 85287, USA.
Xian-Wei LiuCAS Key Laboratory of Urban Pollutant Conversion, Department of Applied Chemistry, University of Science & Technology of China, Hefei, 230026, China.ORCID 0000-0002-0493-8210

Funding

An Integrated Microarray Printing and Detection SystemR44GM114951 · NIGMS · BIOSENSING INSTRUMENT, INC. · PI LY, NGUYEN · 2015 to 2019
$2.5M
Quantitative label-free imaging of membrane protein interaction kinetics on cellsR01GM107165 · NIGMS · ARIZONA STATE UNIVERSITY-TEMPE CAMPUS · PI WANG, SHAOPENG · 2014 to 2021
$2.2M
Nano-Oscillator Arrays for Sensitive Plasmonic Detection of Molecular Interactions and ReactionsR44GM126720 · NIGMS · BIOSENSING INSTRUMENT, INC. · PI LY, NGUYEN · 2018 to 2020
$1.6M
National Natural Science Foundation of China 21676260National Natural Science Foundation of China 21707134National Natural Science Foundation of China 51821006National Outstanding Youth Foundation of China 51722810NIGMS NIH HHS R01 GM107165NIGMS NIH HHS R44 GM114951NIGMS NIH HHS R44 GM126720
6 · The paper itself

Abstract

Surface plasmon resonance microscopy (SPRM) is a versatile platform for chemical and biological sensing and imaging. Great progress in exploring its applications, ranging from single-molecule sensing to single-cell imaging, has been made. In this Minireview, we introduce the principles and instrumentation of SPRM. We also summarize the broad and exciting applications of SPRM to the analysis of single entities. Finally, we discuss the challenges and limitations associated with SPRM and potential solutions.

Indexed as

Biosensing TechniquesHumansMicroscopySingle-Cell AnalysisSurface Plasmon Resonancebinding kineticslabel-free methodssensorssingle-cell imagingsurface plasmon resonance

Identifiers

PMID31531917
PMCPMC7020607

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.