Fluorescence Nano Particle Detection in a Liquid Sample Using the Smartphone for Biomedical Application
Autor: | Anand G, T. Thyagarajan, Sabitha Ramakrishnan |
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Rok vydání: | 2021 |
Předmět: |
Light
Sociology and Political Science Clinical Biochemistry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Nanoparticle Biochemistry Fluorescence Robustness (computer science) Computer vision Android (operating system) Spectroscopy Pixel Chemistry business.industry Detector Ranging Sample (graphics) Solutions Clinical Psychology Nanoparticles Smartphone Artificial intelligence business Law Algorithms Social Sciences (miscellaneous) |
Zdroj: | Journal of Fluorescence. 32:135-143 |
ISSN: | 1573-4994 1053-0509 |
Popis: | In this paper, we present a Smartphone-based Fluorescence Nanoparticle Detector (SPF-NPD) that can be used for identifying biological agents in biomedical applications. The experimental setup consists of an LED light source and an Eppendorf tube holder placed inside a dark chamber with an optimally located slit for aligning the camera of a smartphone. The camera acquires the fluorescence intensity variations in the target liquid sample placed in the Eppendorf tube and passes it to a dedicated android application running in the smartphone. Using the principle of fluorescence-based pathogen detection, the android application detects the pathogens and displays the results within a few seconds. Since, all smartphones are equipped with high-resolution cameras, the proposed SPF-NPD provides a simple and elegant solution for instantaneous detection of fluorescence nano particles and has a great potential for healthcare applications for live detection of pathogens. The intensity measurement in SPF-NPD algorithm uses 5-pixel method, that is, the center pixel followed by four immediate neighbor pixels, because of which, minimal sample quantity is sufficient for precise measurements. We establish the robustness of SPF-NPD through exhaustive experiments with various smartphone cameras having different resolutions ranging from 8 to 20 Megapixels. The results of the proposed SPF-NPD method are validated against those obtained from standard devices such as Perkin-Elmer Picoflor and Perkin-Elmer Enspire. The advantages of the proposed method are highlighted. |
Databáze: | OpenAIRE |
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