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High-throughput screening of high Monascus pigment-producing strain based on digital image processing
Xia, Meng-lei1,2; Wang, Lan1; Yang, Zhi-xia3; Chen, Hong-zhang1
2016-04-01
Source PublicationJOURNAL OF INDUSTRIAL MICROBIOLOGY & BIOTECHNOLOGY
ISSN1367-5435
Volume43Issue:4Pages:451-461
Abstract

This work proposed a new method which applied image processing and support vector machine (SVM) for screening of mold strains. Taking Monascus as example, morphological characteristics of Monascus colony were quantified by image processing. And the association between the characteristics and pigment production capability was determined by SVM. On this basis, a highly automated screening strategy was achieved. The accuracy of the proposed strategy is 80.6 %, which is compatible with the existing methods (81.1 % for microplate and 85.4 % for flask). Meanwhile, the screening of 500 colonies only takes 20-30 min, which is the highest rate among all published results. By applying this automated method, 13 strains with high-predicted production were obtained and the best one produced as 2.8-fold (226 U/mL) of pigment and 1.9-fold (51 mg/L) of lovastatin compared with the parent strain. The current study provides us with an effective and promising method for strain improvement.

KeywordMonascus Ruber Pigment Image Processing Support Vector Machine Automatized Operation
SubtypeArticle
WOS HeadingsScience & Technology ; Life Sciences & Biomedicine
DOI10.1007/s10295-015-1729-z
URL查看原文
Indexed BySCI
Language英语
WOS KeywordSupport Vector Machine ; Submerged Fermentation ; Morphology ; Aspergillus ; Purpureus ; Culture
WOS Research AreaBiotechnology & Applied Microbiology
WOS SubjectBiotechnology & Applied Microbiology
Funding OrganizationNational Key Laboratory of Biochemical Engineering(2013KF-01) ; National High Technology Research and Development Program (863 Program)(2012AA021302)
WOS IDWOS:000372538900003
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ipe.ac.cn/handle/122111/20651
Collection研究所(批量导入)
Corresponding AuthorChen, Hong-zhang
Affiliation1.Chinese Acad Sci, Inst Proc Engn, State Key Lab Biochem Engn, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100039, Peoples R China
3.Xinjiang Univ, Coll Math & Syst Sci, Urumqi 830046, Peoples R China
Recommended Citation
GB/T 7714
Xia, Meng-lei,Wang, Lan,Yang, Zhi-xia,et al. High-throughput screening of high Monascus pigment-producing strain based on digital image processing[J]. JOURNAL OF INDUSTRIAL MICROBIOLOGY & BIOTECHNOLOGY,2016,43(4):451-461.
APA Xia, Meng-lei,Wang, Lan,Yang, Zhi-xia,&Chen, Hong-zhang.(2016).High-throughput screening of high Monascus pigment-producing strain based on digital image processing.JOURNAL OF INDUSTRIAL MICROBIOLOGY & BIOTECHNOLOGY,43(4),451-461.
MLA Xia, Meng-lei,et al."High-throughput screening of high Monascus pigment-producing strain based on digital image processing".JOURNAL OF INDUSTRIAL MICROBIOLOGY & BIOTECHNOLOGY 43.4(2016):451-461.
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