Smartphone-based holographic measurement of polydisperse suspended particulate matter with various mass concentration ratios.

ABSTRACT: 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 de

SUBMITTER: Kim J 

PROVIDER: S-EPMC9803653 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature