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Smartphone-based holographic measurement of polydisperse suspended particulate matter with various mass concentration ratios.
Kim, Jihwan; Kim, Youngdo; Howard, Kyler J; Lee, Sang Joon.
Afiliación
  • Kim J; Department of Mechanical Engineering, Pohang University of Science and Technology, Pohang, 37673, Republic of Korea.
  • Kim Y; Department of Mechanical Engineering, Pohang University of Science and Technology, Pohang, 37673, Republic of Korea.
  • Howard KJ; School of Biomedical Engineering, Colorado State University, Fort Collins, CO, 80521, USA.
  • Lee SJ; Department of Mechanical Engineering, Pohang University of Science and Technology, Pohang, 37673, Republic of Korea. sjlee@postech.ac.kr.
Sci Rep ; 12(1): 22609, 2022 12 30.
Article en En | MEDLINE | ID: mdl-36585469
Real-time monitoring of suspended particulate matter (PM) has become essential in daily life due to the adverse effects of long-term exposure to PMs on human health and ecosystems. However, conventional techniques for measuring micro-scale particulates commonly require expensive instruments. In this study, a smartphone-based device is developed for real-time monitoring of suspended PMs by integrating a smartphone-based digital holographic microscopy (S-DHM) and deep learning algorithms. The proposed S-DHM-based PM monitoring device is composed of affordable commercial optical components and a smartphone. Overall procedures including digital image processing, deep learning training, and correction process are optimized to minimize the prediction error and computational cost. The proposed device can rapidly measure the mass concentrations of coarse and fine PMs from holographic speckle patterns of suspended polydisperse PMs in water with measurement errors of 22.8 ± 18.1% and 13.5 ± 9.8%, respectively. With further advances in data acquisition and deep learning training, this study would contribute to the development of hand-held devices for monitoring polydisperse non-spherical pollutants suspended in various media.
Asunto(s)

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Contaminantes Atmosféricos / Material Particulado Límite: Humans Idioma: En Revista: Sci Rep Año: 2022 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Contaminantes Atmosféricos / Material Particulado Límite: Humans Idioma: En Revista: Sci Rep Año: 2022 Tipo del documento: Article