Automated Micro-Object Detection for Mobile Diagnostics Using Lens-Free Imaging Technology.
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ABSTRACT: Lens-free imaging technology has been extensively used recently for microparticle and biological cell analysis because of its high throughput, low cost, and simple and compact arrangement. However, this technology still lacks a dedicated and automated detection system. In this paper, we describe a custom-developed automated micro-object detection method for a lens-free imaging system. In our previous work (Roy et al.), we developed a lens-free imaging system using low-cost components. This system was used to generate and capture the diffraction patterns of micro-objects and a global threshold was used to locate the diffraction patterns. In this work we used the same setup to develop an improved automated detection and analysis algorithm based on adaptive threshold and clustering of signals
SUBMITTER: Roy M
PROVIDER: S-EPMC4931412 | biostudies-literature | 2016 May
REPOSITORIES: biostudies-literature
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