High-throughput and real-time microalgae monitoring platform using lens-free shadow imaging system (LSIS)
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Seo, D. | - |
dc.contributor.author | Roy, M. | - |
dc.contributor.author | Kim, J. | - |
dc.contributor.author | Ann, K. | - |
dc.contributor.author | Hwang, Y. | - |
dc.contributor.author | Kwak, Y.H. | - |
dc.contributor.author | Oh, S. | - |
dc.contributor.author | Lee, M. | - |
dc.contributor.author | Lee, J.W. | - |
dc.contributor.author | Seo, S. | - |
dc.date.accessioned | 2023-12-22T08:31:24Z | - |
dc.date.available | 2023-12-22T08:31:24Z | - |
dc.date.issued | 2015 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/8603 | - |
dc.description.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. | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Institute of Electrical and Electronics Engineers Inc. | - |
dc.title | High-throughput and real-time microalgae monitoring platform using lens-free shadow imaging system (LSIS) | - |
dc.type | Article | - |
dc.identifier.doi | 10.1109/ICSENS.2015.7370597 | - |
dc.identifier.scopusid | 2-s2.0-84963614589 | - |
dc.identifier.bibliographicCitation | 2015 IEEE SENSORS - Proceedings | - |
dc.citation.title | 2015 IEEE SENSORS - Proceedings | - |
dc.type.docType | Conference Paper | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Cost effectiveness | - |
dc.subject.keywordPlus | Flocculation | - |
dc.subject.keywordPlus | Imaging techniques | - |
dc.subject.keywordPlus | Microorganisms | - |
dc.subject.keywordPlus | Conventional methods | - |
dc.subject.keywordPlus | Cost effective systems | - |
dc.subject.keywordPlus | Flocculant efficiencies | - |
dc.subject.keywordPlus | Micro-algae | - |
dc.subject.keywordPlus | Microalgae harvesting | - |
dc.subject.keywordPlus | Real time monitoring | - |
dc.subject.keywordPlus | Shadow images | - |
dc.subject.keywordPlus | Shadow-imaging systems | - |
dc.subject.keywordPlus | Algae | - |
dc.subject.keywordAuthor | EPS | - |
dc.subject.keywordAuthor | Flocculation | - |
dc.subject.keywordAuthor | Lens-free | - |
dc.subject.keywordAuthor | Microalgae | - |
dc.subject.keywordAuthor | real-time monitoring | - |
dc.subject.keywordAuthor | shadow image | - |
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