Evidence map›Paper›PMID 32527066›Full record

ArticleSensors (Basel, Switzerland)2020

Low-Cost Hyperspectral Imaging System: Design and Testing for Laboratory-Based Environmental Applications.

Mary B Stuart, Leigh R Stanger, Matthew J Hobbs, Tom D Pering, Daniel Thio, Andrew J S McGonigle, Jon R Willmott

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. 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.

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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

7 authors.

Mary B StuartDepartment of Electronic and Electrical Engineering, University of Sheffield, Sheffield S1 4DE, UK.
Leigh R StangerDepartment of Electronic and Electrical Engineering, University of Sheffield, Sheffield S1 4DE, UK.
Matthew J HobbsDepartment of Electronic and Electrical Engineering, University of Sheffield, Sheffield S1 4DE, UK.
Tom D PeringDepartment of Geography, University of Sheffield, Sheffield S10 2TN, UK.
Daniel ThioNunnery Lane Dental Practice, York YO23 1AH, UK.
Andrew J S McGonigleDepartment of Geography, University of Sheffield, Sheffield S10 2TN, UK.
Jon R WillmottDepartment of Electronic and Electrical Engineering, University of Sheffield, Sheffield S1 4DE, UK.

Funding

Engineering and Physical Sciences Research Council EP/M009106/1
6 · The paper itself

Abstract

The recent surge in the development of low-cost, miniaturised technologies provides a significant opportunity to develop miniaturised hyperspectral imagers at a fraction of the cost of currently available commercial set-ups. This article introduces a low-cost laboratory-based hyperspectral imager developed using commercially available components. The imager is capable of quantitative and qualitative hyperspectral measurements, and it was tested in a variety of laboratory-based environmental applications where it demonstrated its ability to collect data that correlates well with existing datasets. In its current format, the imager is an accurate laboratory measurement tool, with significant potential for ongoing future developments. It represents an initial development in accessible hyperspectral technologies, providing a robust basis for future improvements.

Indexed as

environmental monitoringhyperspectrallaboratory-basedlow-costminiature sensor

Identifiers

PMID32527066
PMCPMC7308922

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.