Evidence map›Paper›PMID 35509904›Full record

ArticleHardwareX2022

MEDUSA: An open-source and webcam based multispectral imaging system.

Daniel Pineda, Juan Pérez, Daniel Gaviria, Karen Ospino-Villalba, Omar Camargo

Abstract read
In one paragraph

Article in HardwareX, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Daniel PinedaFacultad de Ciencias Universidad Nacional de Colombia Sede Medellín, Facultad de Ciencias Agrarias, Carrera 65 #59a-110, Medellín, Antioquia, Colombia.
Juan PérezFacultad de Ciencias Universidad Nacional de Colombia Sede Medellín, Facultad de Ciencias Agrarias, Carrera 65 #59a-110, Medellín, Antioquia, Colombia.
Daniel GaviriaFacultad de Ciencias Agrarias. Carrera 65 #59a-110, Medellín, Antioquia, Colombia.
Karen Ospino-VillalbaFacultad de Ciencias Agrarias. Carrera 65 #59a-110, Medellín, Antioquia, Colombia.
Omar CamargoFacultad de Ciencias Agrarias. Carrera 65 #59a-110, Medellín, Antioquia, Colombia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multispectral imaging is at the forefront of contactless surface analysis. Standard multispectral imaging systems use sophisticated software, cameras and light filtering optics. This paper discloses the building of a customizable and cost-effective multispectral imaging and analysis system. It integrates a web camera, light emitting diodes (LEDs) lighting, a semisphere for even lightening, an open-source Arduino™ development board and a free Python application to automatically obtain and visually analyze multispectral images. The device is hereafter called MEDUSA and its optical performance was tested for repeated Imaging consistency, visible and near infrared band sensitivity and lighting evenness. Four proof of concept tests were run in order to understand the advantageous use of this system, as compared to a simple visual score of diverse samples. Each of three qualitative tests used sets of 12 LED band spectral images to analyze ink changes in a counterfeit bill, surface bruises on Hass avocado fruits and transient changes in petri dish grown bacterial colonies. A fourth test used single band imaging in a set of standard laboratory analyzed plant samples, to quantitatively relate a red band light reflectance to its nitrogen content. These tests indicate that MEDUSA made images may yield qualitative and quantitative spectral information unseen to the naked eye, suggesting potential use in currency counterfeit tests, food quality analyses, microbial phenotyping and agricultural plant chemistry. MEDUSA can be freely reproduced and customized from this research, making it a powerful and affordable analytical tool to analyze a wide range of subtle chemical properties in samples at industrial and science fields.

Indexed as

ArduinoMultispectral imagingPython

Identifiers

PMID35509904
PMCPMC9058717

What OpenQuestion holds

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LicenceCC BY
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.