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High-throughput and real-time microalgae monitoring platform using lens-free shadow imaging system (LSIS)

Authors
Seo, D.Roy, M.Kim, J.Ann, K.Hwang, Y.Kwak, Y.H.Oh, S.Lee, M.Lee, J.W.Seo, S.
Issue Date
2015
Publisher
Institute of Electrical and Electronics Engineers Inc.
Keywords
EPS; Flocculation; Lens-free; Microalgae; real-time monitoring; shadow image
Citation
2015 IEEE SENSORS - Proceedings
Journal Title
2015 IEEE SENSORS - Proceedings
URI
https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/8603
DOI
10.1109/ICSENS.2015.7370597
ISSN
0000-0000
Abstract
Floc size analysis is one of the major processes in bio-flocculant efficiency determination, which is critical for microalgae harvesting. Till now the flocculation analysis has been performed by using photospectrometry. In this conventional method, optical density of a sample is measured in a time interval by collecting the sample from a fixed point of the container, up to ∼5 hrs of observation period. This time consuming process may not guarantee the viability of the algae, which limits the efficient harvesting. To address this issue, we introduce a real time flocculation monitoring system based on the lens-free shadow imaging technique (LSIT). This simple, fast, and cost-effective system automatically analyzes the thousands of single microalgae all in parallel and monitors their flocculation by using a custom developed algorithm. We evaluate the performance of this approach by comparing the results with the standard method, showing a good agreement between two modalities. ? 2015 IEEE.
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