DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jung, SK | - |
dc.contributor.author | Lee, SB | - |
dc.date.accessioned | 2016-04-01T09:15:08Z | - |
dc.date.available | 2016-04-01T09:15:08Z | - |
dc.date.created | 2009-03-20 | - |
dc.date.issued | 2003-11-05 | - |
dc.identifier.issn | 0006-3592 | - |
dc.identifier.other | 2003-OAK-0000010495 | - |
dc.identifier.uri | https://oasis.postech.ac.kr/handle/2014.oak/29734 | - |
dc.description.abstract | Light intensity is a crucial factor that determines the growth of photosynthetic cells. This study analyzed the light distribution in a photobioreactor by processing images, captured with a digital camera, of a rectangular photobioreactor containing Synechococcus sp. PCC6801 as a model microorganism. The gray-scale images obtained clearly demonstrate the variation of the light-distribution profiles upon changing cell concentrations and external light intensity. Image-processing techniques were also used to predict the cell density in the photo bioreactor. By analyzing the digitized image data with a neural network model, we were able to predict the cell concentrations in the photobioreactor with a <5% error. (C) 2003 Wiley Periodicals, Inc. | - |
dc.description.statementofresponsibility | X | - |
dc.language | English | - |
dc.publisher | JOHN WILEY & SONS INC | - |
dc.relation.isPartOf | BIOTECHNOLOGY AND BIOENGINEERING | - |
dc.subject | light distribution | - |
dc.subject | image analysis | - |
dc.subject | photobioreactor | - |
dc.subject | neural networks | - |
dc.subject | Synechococcus sp PCC6801 | - |
dc.subject | NEURAL NETWORKS | - |
dc.subject | GROWTH | - |
dc.subject | CULTURE | - |
dc.subject | KINETICS | - |
dc.subject | SYSTEM | - |
dc.subject | PLATES | - |
dc.subject | MODEL | - |
dc.title | Image analysis of light distribution in a photobioreactor | - |
dc.type | Article | - |
dc.contributor.college | 경북씨그랜트센터 | - |
dc.identifier.doi | 10.1002/BIT.10766 | - |
dc.author.google | Jung, SK | - |
dc.author.google | Lee, SB | - |
dc.relation.volume | 84 | - |
dc.relation.issue | 3 | - |
dc.relation.startpage | 394 | - |
dc.relation.lastpage | 397 | - |
dc.contributor.id | 10105619 | - |
dc.relation.journal | BIOTECHNOLOGY AND BIOENGINEERING | - |
dc.relation.index | SCI급, SCOPUS 등재논문 | - |
dc.relation.sci | SCI | - |
dc.collections.name | Journal Papers | - |
dc.type.rims | ART | - |
dc.identifier.bibliographicCitation | BIOTECHNOLOGY AND BIOENGINEERING, v.84, no.3, pp.394 - 397 | - |
dc.identifier.wosid | 000185642700015 | - |
dc.date.tcdate | 2019-02-01 | - |
dc.citation.endPage | 397 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 394 | - |
dc.citation.title | BIOTECHNOLOGY AND BIOENGINEERING | - |
dc.citation.volume | 84 | - |
dc.contributor.affiliatedAuthor | Lee, SB | - |
dc.identifier.scopusid | 2-s2.0-0141644307 | - |
dc.description.journalClass | 1 | - |
dc.description.journalClass | 1 | - |
dc.description.wostc | 5 | - |
dc.description.scptc | 5 | * |
dc.date.scptcdate | 2018-05-121 | * |
dc.type.docType | Article | - |
dc.subject.keywordPlus | NEURAL-NETWORKS | - |
dc.subject.keywordPlus | GROWTH | - |
dc.subject.keywordPlus | KINETICS | - |
dc.subject.keywordPlus | MODEL | - |
dc.subject.keywordAuthor | light distribution | - |
dc.subject.keywordAuthor | image analysis | - |
dc.subject.keywordAuthor | photobioreactor | - |
dc.subject.keywordAuthor | neural networks | - |
dc.subject.keywordAuthor | Synechococcus sp PCC6801 | - |
dc.relation.journalWebOfScienceCategory | Biotechnology & Applied Microbiology | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Biotechnology & Applied Microbiology | - |
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