• 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