使用激光二极管照明的多光谱显微镜平台的开发,用于有效和自动的无标签恶性疟原虫检测

Q3 Chemistry
Yao Alvarez Kossonou, J. Zoueu
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引用次数: 1

摘要

本文介绍了用于无标记疟疾诊断的多模态和多光谱光学显微镜的研究进展。我们之前开发的发光二极管(LED)照明系统被激光二极管作为光源取代,以缩小光谱带,提高感染血细胞检测对比度功能的有效性。采集系统现在配备了自动现场扫描和最佳聚焦确定算法。我们展示了该平台提供多种研究模式的潜力,如透射、反射、散射、荧光、激发、发射和极化。该平台在疟疾感染样本上的应用显示了这种系统在无标签和全光学疟疾检测方面的有效性,因为它允许对分析的样本使用不同类型的成像装置。此外,与我们以前使用led照明光源进行疟疾检测相比,用于表征疟疾感染红细胞的照明光源更少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development of a multispectral microscopy platform using laser diode illumination for effective and automatic label-free Plasmodium falciparum detection
In this paper, we present the progress made in developing multimodal and multispectral light microscopy for label-free malaria diagnosis. Our previously developed light emitting diode (LED) illumination system was replaced by laser diodes as light sources in order to narrow the spectral bands and improve the effectiveness of the contrast function for infected blood cell detection. The acquisition system is now equipped with an algorithm for automatic field scanning and best in-focus determination. We demonstrate the potential of this platform to provide multiple investigation modalities like transmission, reflection, scattering, fluorescence, excitation, emission and polarisation. The application of this platform on malaria-infected samples has shown the effectiveness of such a system in label-free and all-optical malaria detection by allowing the possibility of using a different type of imaging set-up for the samples analysed. Also, fewer illumination sources are used to characterise malaria-infected red blood cells compared to our previous works on malaria detection using LEDs illumination sources.
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来源期刊
Journal of Spectral Imaging
Journal of Spectral Imaging Chemistry-Analytical Chemistry
CiteScore
3.90
自引率
0.00%
发文量
11
审稿时长
22 weeks
期刊介绍: JSI—Journal of Spectral Imaging is the first journal to bring together current research from the diverse research areas of spectral, hyperspectral and chemical imaging as well as related areas such as remote sensing, chemometrics, data mining and data handling for spectral image data. We believe all those working in Spectral Imaging can benefit from the knowledge of others even in widely different fields. We welcome original research papers, letters, review articles, tutorial papers, short communications and technical notes.
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