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DOI: 10.1371/journal.pone.0157329
论文题名:
Computational Visual Stress Level Analysis of Calcareous Algae Exposed to Sedimentation
作者: Jonas Osterloff; Ingunn Nilssen; Ingvar Eide; Marcia Abreu de Oliveira Figueiredo; Frederico Tapajós de Souza Tâmega; Tim W. Nattkemper
刊名: PLOS ONE
ISSN: 1932-6203
出版年: 2016
发表日期: 2016-6-10
卷: 11, 期:6
语种: 英语
英文关键词: Algae ; Prototypes ; Photosynthetic efficiency ; Sediment ; Machine learning ; Machine learning algorithms ; Reflection ; Sedimentation
英文摘要: This paper presents a machine learning based approach for analyses of photos collected from laboratory experiments conducted to assess the potential impact of water-based drill cuttings on deep-water rhodolith-forming calcareous algae. This pilot study uses imaging technology to quantify and monitor the stress levels of the calcareous algae Mesophyllum engelhartii (Foslie) Adey caused by various degrees of light exposure, flow intensity and amount of sediment. A machine learning based algorithm was applied to assess the temporal variation of the calcareous algae size (∼ mass) and color automatically. Measured size and color were correlated to the photosynthetic efficiency (maximum quantum yield of charge separation in photosystem II, Φ PSII max) and degree of sediment coverage using multivariate regression. The multivariate regression showed correlations between time and calcareous algae sizes, as well as correlations between fluorescence and calcareous algae colors.
URL: http://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0157329&type=printable
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/25347
Appears in Collections:过去全球变化的重建
影响、适应和脆弱性
科学计划与规划
气候变化与战略
全球变化的国际研究计划
气候减缓与适应
气候变化事实与影响

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作者单位: Biodata Mining Group, Faculty of Technology, Bielefeld University, Bielefeld, Germany;Statoil ASA, Research and Technology, N-7005 Trondheim, Norway;Trondhjem Biological Station, Department of Biology, Norwegian University of Science and Technology, N-7491 Trondheim, Norway;Statoil ASA, Research and Technology, N-7005 Trondheim, Norway;Instituto de Pesquisa Jardim Botanico do Rio de Janeiro, CEP 22.460-030, Rio de Janeiro, RJ, Brazil;Instituto Biodiversidade Marinha, 22.793-000, Rio de Janeiro, RJ, Brazil;Instituto Biodiversidade Marinha, 22.793-000, Rio de Janeiro, RJ, Brazil;Instituto de Estudos do Mar Almirante Paulo Moreira, 28.930-000, Arraial do Cabo, RJ, Brazil;Biodata Mining Group, Faculty of Technology, Bielefeld University, Bielefeld, Germany

Recommended Citation:
Jonas Osterloff,Ingunn Nilssen,Ingvar Eide,et al. Computational Visual Stress Level Analysis of Calcareous Algae Exposed to Sedimentation[J]. PLOS ONE,2016-01-01,11(6)
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