Evidence map›Paper›PMID 30217054›Full record

ArticleBiosensors2018

Automatic Spot Identification Method for High Throughput Surface Plasmon Resonance Imaging Analysis.

Zhiyou Wang, Xiaoqing Huang, Zhiqiang Cheng

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biosensors, 2018. 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. 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

3 authors.

Zhiyou WangSchool of Electronic and Communication, Changsha University, Changsha 410003, China. qhwzy@126.com.
Xiaoqing HuangSchool of Electronic and Communication, Changsha University, Changsha 410003, China. moruyu3@gmail.com.
Zhiqiang ChengDepartment of Pharmacology and Molecular Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA. zcheng7@jhu.edu.

Funding

Science and Technology Program of Changsha k1705075Start-up Foundation of Doctor Scientific Research Projects of Changsha University 50800|92798
6 · The paper itself

Abstract

An automatic spot identification method is developed for high throughput surface plasmon resonance imaging (SPRi) analysis. As a combination of video accessing, image enhancement, image processing and parallel processing techniques, the method can identify the spots in SPRi images of the microarray from SPRi video data. In demonstrations of the method, SPRi video data of different protein microarrays were processed by the method. Results show that our method can locate spots in the microarray accurately regardless of the microarray pattern, spot-background contrast, light nonuniformity and spotting defects, but also can provide address information of the spots.

Indexed as

Biosensing TechniquesHigh-Throughput Screening AssaysImage Processing, Computer-AssistedLimit of DetectionProtein Array AnalysisSurface Plasmon ResonanceVideo Recordingadaptive threshold binarizationimage enhancementprotein microarraysurface plasmon resonance imaging

Identifiers

PMID30217054
PMCPMC6163621

What OpenQuestion holds

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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.