ences • Environmental and agricultural sciences • Counterfeit detection • General surface analytical chemistry Hardware type • Imaging tools • Field measurements and sensors • Electrical engineering and computer science Open-Source License GNU General Public License (GPL) Cost of Hardware Less than 300USD Source File Repository https://osf.io/zhp4m/ Hardware in context Multispectral imaging is at the forefront of dry and non-invasive spatial analytical chemistry. It is used in fields as diverse as human health [9] , food quality [8] , plant science [22] soil chemistry [18] , counterfeit [7] and art analyses [15] . Despite its proven general value, wide access to these syst
Open resource ↗OSF · lines:1-59Unverified paper record
MEDUSA: An open-source and webcam based multispectral imaging system.
HardwareX · 22 Feb 2022 · 10.1016/j.ohx.2022.e00282
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.
Plant phenotyping relevance
植物試料の化学的状態を非接触画像から推定する低コスト multispectral imaging システムを開発し、光学性能を検証している。植物サンプルの反射率と窒素含量の定量関係も評価され、植物表現型取得への応用が明示されている。
abstractThis paper discloses the building of a customizable and cost-effective multispectral imaging and analysis system.
abstractits optical performance was tested for repeated Imaging consistency, visible and near infrared band sensitivity and lighting evenness.
Code and data availability
The paper discloses the MEDUSA multispectral imaging system with author-provided analysis/control code (Python GUI with PCA image analysis, Arduino firmware) publicly deposited on OSF. No standalone plant-phenotyping dataset (e.g., the nitrogen reflectance plant samples) is explicitly deposited; only the software/hardw
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