DocumentCode
3722050
Title
High-throughput and real-time microalgae monitoring platform using lens-free shadow imaging system (LSIS)
Author
Dongmin Seo;Mohendra Roy;Jaewoo Kim;Kiyoung Ann;Yongha Hwang;Yeon Hwa Kwak;Sangwoo Oh;Moonjin Lee;Jae Woo Lee;Sungkyu Seo
Author_Institution
Department of Electronics and Information Engineering, Korea University, Sejong, Korea
fYear
2015
Firstpage
1
Lastpage
3
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.
Keywords
"Large scale integration","Monitoring","Optical variables measurement","Optical imaging","Standards","Real-time systems"
Publisher
ieee
Conference_Titel
SENSORS, 2015 IEEE
Type
conf
DOI
10.1109/ICSENS.2015.7370597
Filename
7370597
Link To Document