Holographic projection with deep learning for microparticles detection from water samples

This thesis proposes a complete holographic system to be applied in scientific research and monitoring, which is able to detect microparticles from the holographic projection of water samples, using a deep learning approach. The system proposed in this thesis uses digital holography techniques to...

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Hlavní autor: Silva Júnior, Andouglas Gonçalves da
Další autoři: Gonçalves, Luiz Marcos Garcia
Médium: doctoralThesis
Jazyk:pt_BR
Vydáno: Universidade Federal do Rio Grande do Norte
Témata:
Holografia
Aprendizado profundo
Diatomáceas
Microplásticos
On-line přístup:https://repositorio.ufrn.br/handle/123456789/32229
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spelling ri-123456789-322292021-04-18T09:07:14Z Holographic projection with deep learning for microparticles detection from water samples Silva Júnior, Andouglas Gonçalves da Gonçalves, Luiz Marcos Garcia http://lattes.cnpq.br/2346181034036586 http://lattes.cnpq.br/1562357566810393 Distante, Cosimo Clua, Esteban Walter Gonzalez http://lattes.cnpq.br/4791589931798048 Alsina, Pablo Javier http://lattes.cnpq.br/3653597363789712 Holografia Aprendizado profundo Diatomáceas Microplásticos This thesis proposes a complete holographic system to be applied in scientific research and monitoring, which is able to detect microparticles from the holographic projection of water samples, using a deep learning approach. The system proposed in this thesis uses digital holography techniques to acquire holograms from these particles (a device was built for this purpose), reconstruct them numerically by obtaining phase and intensity information, and classify them using machine learning models. In addition, we have developed an application on the web capable of performing all stages of the hologram reconstruction and the classification process using trained models, which is also available. The need for studies on particles that are invisible to the naked eye and that can be dangerous to the health of living beings is an increasingly important research topic and there are many concerns about it. An example is the various types of microplastics found on a large scale in different parts of the planet, even within the human body. Another particle that can help identify microplastics and that can be used to calculate bioindicators of water quality are diatoms. The detection of microplastics and diatoms is subject to difficult studies due to their size, in the order of the micrometer. Coordenação de Aperfeiçoamento de Pessoal de Nível Superior - CAPES Esta tese propõe um sistema holográfico completo para ser aplicado em pesquisa científica e em monitoramento, que é capaz de detectar micropartículas a partir da projeção holográfica de amostras de água, utilizando uma abordagem de deep learning. O sistema proposto nesta tese utiliza técnicas de holografia digital para adquirir hologramas dessas partículas (um dispositivo foi construído para isso), reconstruí-las numericamente obtendo informações de fase e intensidade, e classificá-las usando modelos de aprendizado de máquina. Além disso, desenvolvemos um aplicativo na web capaz de realizar todas as etapas da reconstrução do holograma e do processo de classificação uitlizando-se dos modelos treinados, que também está disponível. A necessidade de estudos sobre partículas que são invisíveis a olho nu e que podem ser perigosas para a saúde dos seres vivos é um tema cada vez mais importante de pesquisa e há muitas preocupações a respeito. Um exemplo são os diversos tipos de microplásticos encontrados em grande escala em diferentes partes do planeta, até mesmo dentro do corpo humano. Outra partícula que pode ajudar a identificar microplásticos e que pode ser usada para calcular bioindicadores de qualidade da água são as diatomáceas. A detecção de microplásticos e diatomáceas está sujeita a estudos difíceis devido ao seu tamanho, na ordem do micrômetro. 2021-04-15T23:35:15Z 2021-04-15T23:35:15Z 2021-02-05 doctoralThesis SILVA JÚNIOR, Andouglas Gonçalves da. Holographic projection with deep learning for microparticles detection from water samples. 2021. 124f. Tese (Doutorado em Engenharia Elétrica e de Computação) - Centro de Tecnologia, Universidade Federal do Rio Grande do Norte, Natal, 2021. https://repositorio.ufrn.br/handle/123456789/32229 pt_BR Acesso Aberto application/pdf Universidade Federal do Rio Grande do Norte Brasil UFRN PROGRAMA DE PÓS-GRADUAÇÃO EM ENGENHARIA ELÉTRICA E DE COMPUTAÇÃO
institution Repositório Institucional
collection RI - UFRN
language pt_BR
topic Holografia
Aprendizado profundo
Diatomáceas
Microplásticos
spellingShingle Holografia
Aprendizado profundo
Diatomáceas
Microplásticos
Silva Júnior, Andouglas Gonçalves da
Holographic projection with deep learning for microparticles detection from water samples
description This thesis proposes a complete holographic system to be applied in scientific research and monitoring, which is able to detect microparticles from the holographic projection of water samples, using a deep learning approach. The system proposed in this thesis uses digital holography techniques to acquire holograms from these particles (a device was built for this purpose), reconstruct them numerically by obtaining phase and intensity information, and classify them using machine learning models. In addition, we have developed an application on the web capable of performing all stages of the hologram reconstruction and the classification process using trained models, which is also available. The need for studies on particles that are invisible to the naked eye and that can be dangerous to the health of living beings is an increasingly important research topic and there are many concerns about it. An example is the various types of microplastics found on a large scale in different parts of the planet, even within the human body. Another particle that can help identify microplastics and that can be used to calculate bioindicators of water quality are diatoms. The detection of microplastics and diatoms is subject to difficult studies due to their size, in the order of the micrometer.
author2 Gonçalves, Luiz Marcos Garcia
author_facet Gonçalves, Luiz Marcos Garcia
Silva Júnior, Andouglas Gonçalves da
format doctoralThesis
author Silva Júnior, Andouglas Gonçalves da
author_sort Silva Júnior, Andouglas Gonçalves da
title Holographic projection with deep learning for microparticles detection from water samples
title_short Holographic projection with deep learning for microparticles detection from water samples
title_full Holographic projection with deep learning for microparticles detection from water samples
title_fullStr Holographic projection with deep learning for microparticles detection from water samples
title_full_unstemmed Holographic projection with deep learning for microparticles detection from water samples
title_sort holographic projection with deep learning for microparticles detection from water samples
publisher Universidade Federal do Rio Grande do Norte
publishDate 2021
url https://repositorio.ufrn.br/handle/123456789/32229
work_keys_str_mv AT silvajuniorandouglasgoncalvesda holographicprojectionwithdeeplearningformicroparticlesdetectionfromwatersamples
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