海洋浮游生物图像观测技术及其应用

浮游生物图像自动识别技术是当前海洋浮游生态学的研究热点。该技术结合水体成像系统和自动识别软件,能够对浮游生物的种类组成和丰度进行快速自动识别和定量分析,从而获得关于浮游生物分布和丰度更及时、更准确的信息,为大尺度、实时、连续地研究浮游生物分类学和生态学特征提供了一种有效手段。重点分析了当前国际上浮游生物图像识别技术研究的最新进展、主要应用领域、存在的问题以及未来的发展方向,旨在进一步推进该技术在我国近海及大洋浮游生态学及相关研究领域中的应用。

关键词: 浮游生物观测, 图像技术, 自动识别

Automated marine plankton image identification technique is a hot issue in the research of marine plankton ecology. By combining imaging systems and automatic classification software, these techniques are good at rapid identification and quantitative analysis on composition and abundance of plankton samples, which provides an efficient way to study the ecology and taxonomy of plankton continuously on a large scale. The development of planktonimaging systems, including ZooScan, Video Plankton Recoder, Underwater Video Profiler, FlowCAM, CytoSense and Holography, was reviewed. The techniques for automated identification of plankton images were introduced accordingly. The application of this technique in the field of marine ecosystem long term observation, size spectra and plankton biomass estimation was analyzed. The perspective and challenge were proposed finally. It is anticipated to promote the application of this technique in the research of coastal and oceanic plankton ecology and relevant fields in China.

Key words: Plankton observation, Imaging technique, Automated identification.

中图分类号:

P735

[1]	Sun Song. Challenges in the jellyfish bloom research[J]. Advances in Earth Science, 2012, 27(3): 257-261.
	[孙松.水母暴发研究所面临的挑战[J].地球科学进展,2012,27(3):257-261.]
[2]	Culverhouse P F,Williams Robert,Benfield M, et al. Automatic image analysis of plankton: Future perspective[J]. Marine Ecology Progress Series, 2006,312: 297-309, doi:10.3354/meps312297.
[3]	Macleod N,Benfield M,Culverhouse P.Time to automate identification[J]. Nature,2010,467(7312): 154-155.
[4]	Ortner P B,Cummings S R,Aftring R P,et al.Silhouette photography of oceanic zooplankton[J]. Nature,1979,277(5691):50-51.
[5]	Berman M S,Katsinis C,Jeffries H P,et al. Image analysis techniques for the identification and measurement of marine zooplankton[J]. EOS, Transactions of the American Geophysical Union,1990,71:94.
[6]	Rolke M, Lenz J.Size structure analysis of zooplankton samples by means of an automated image analyzing system[J]. Journal of Plankton Research,1984,6: 637-645.
[7]	Gorsky G,Guilbert P,Valenta E.The autonomous image analyzer—Enumeration, measurement and identification of marine phytoplankton[J]. Marine Ecology Progress Series,1989,58:133-142.
[8]	Benfield M C,Grosjean P,Culverhouse P F, et al. RAPID research on automated plankton identification[J]. Oceanography,2007,20(2): 172-187.
[9]	Gorsky G, Ohman M D, Picheral M, et al. Digital zooplankton image analysis using the ZooScan integrated system[J]. Journal of Plankton Research, 2010,32(3):285-303.
[10]	Sun Xiaoxia, Sun Song, Wang Shiwei, et al. Application of automated image identification in zooplankton ecology studies in the Jiaozhou Bay[J].Oceanologia et Limnologia Sinica, 2011, 42(5): 647-753.
	[孙晓霞,孙松,王世伟,等.图像自动识别技术在胶州湾浮游动物生态学研究中的应用[J].海洋与湖沼,2011, 42(5):647-753.]
[11]	Davis C S,Gallager S M,Berman M S,et al.The Video Plankton Recorder (VPR): Design and initial results[J]. Archiv für Hydrobiologie-Beiheft Ergebnisse der Limnologie,1992,36:67-81.
[12]	Davis C S,Hu Q,Gallager S M,et al.Real-time observation of taxaspecific plankton distributions: An optical sampling method[J]. Marine Ecology Progress Series,2004,284:77-96.
[13]	Gorsky G,Flood P R,Youngbluth M J,et al. Zooplankton distribution in four western Norwegian fjords[J]. Estuarine,Coastal and Shelf Science,2000,50:129-135.
[14]	Benfield M C,Lavery A,Wiebe P H,et al.Distributions of physonect siphonulae in the gulf of maine and their potential as important sources of acoustic scattering[J]. Canadian Journal of Fisheries and Aquatic Sciences,2003,60:759-772.
[15]	Wang Yu, Lin Mao, Lin Gengming, et al. Application of Flow Cytometry and Microscopy (FlowCAM) in marine phytoplankton taxonomic studies[J]. Advances in Marine Science, 2010, 28(2): 266-274.
	[王雨,林茂,林更铭,等.流式影像术在海洋浮游植物分类研究中的应用[J].海洋科学进展,2010, 28(2):266-274.]
[16]	Ren Linlin. Application of Flow Cytometry and Microscopy in Phytoplankton Community Structure in the Yellow Sea and East China Sea[D]. Beijing: University of Chinese Academy of Sciences, 2013.
	[任琳琳.流式影像术在黄东海浮游植物群落结构研究中的应用[D]. 北京:中国科学院大学, 2013.]
[17]	Remsen A, Samson S, Hopkins T. What you see is not what you catch: A comparison of concurrently collected net,Optical Plankton Counter (OPC),and Shadowed Image Particle Profiling Evaluation Recorder (SIPPER) data from the northeast Gulf of Mexico[J].Deep-Sea Research Part I: Oceanographic Research Papers,2004,51:129-151.
[18]	Basedow S L,Tande K S,Norrbin M F, et al. Capturing quantitative zooplankton information in the sea: Performance test of laser optical plankton counter and video plankton recorder in a Calanus finmarchicus dominated summer situation[J]. Progress in Oceanography,2013,108: 72-80.
[19]	Knox C. Holographic microscopy as a technique for recording dynamic microscopic objects[J]. Science, 1966, 153: 989-990.
[20]	Beers J, Knox C, Strickland J. A permanent record of plankton samples using holography[J]. Limnology and Oceanography, 1970, 15: 967-970.
[21]	Stewart G, Beers J, Knox C. Application of holographic techniques to the study of marine plankton in the field and the laboratory[C]∥Proceeding SPIE 0041, Developments in Laser Technology II, 1970, 183: 41183-41188.
[22]	Heflinger L, Stewart G, Booth C. Holographic motion pictures of microscopic plankton[J]. Applied Optics, 1978, 17: 951-954.
[23]	Briones R, Heflinger L, Wuerker R. Holographic microscopy[J]. Applied Optics, 1978, 17: 944-950.
[24]	Carder K. Holographic microvelocimeter for use in studying ocean particle dynamics[J]. Optical Engineering, 1979, 18: 524-525.
[25]	Costello D, Carder K, Betzer P, et al. In situ holographic imaging of settling particles: Applications for individual particle dynamics and oceanic flux measurements[J]. Deep-Sea Research, 1989, 361: 595-605.
[26]	Hobson P, Watson J. The principles and practice of holographic recording of plankton[J]. Journal of Optics A: Pure and Applied Optics, 2002, 4: S34-S49.
[27]	Hobson P, Lampitt R, Rogerson A, et al. Three-dimensional spatial coordinates of individual plankton determined using underwater hologrammetry[J]. Limnology and Oceanography, 2000, 45: 1 167-1 174.
[28]	Katz J, Donaghay P, Zhang J, et al. Sub-mersible holocamera for detection of particle characteristics and motions in the ocean[J]. Deep-Sea Research I: Oceanographic Research Papers, 1999, 46: 1455-1481.
[29]	Hwang J, Turner J, Costello J, et al. A cinematographic comparison of behavior by the calanoid copepod Centropages hamatus: Tethered versus free-swimming animals[J]. Journal of Experimental Marine Biology and Ecology, 1993, 167: 277-288.
[30]	Malkiel E, Alquaddoomi O, Katz J. Measurements of plankton distribution in the ocean using submersible holography[J]. Measurement Science Technology, 1999, 10: 1153-1161.
[31]	Dahms H, Hwang J. Perspective of underwater optics in biological oceanography and plankton ecology studies[J]. Journal of Marine Science and Technology, 2010, 18: 112-121.
[32]	Chen Jixin, Huang Bangqin, Liu Xin. The progress of in situ observation of marine plankton[J]. Advances in Earth Science, 2013, 28(5): 572-576.
	[陈纪新,黄邦钦,柳欣.海洋浮游生物原位观测技术研究进展[J].地球科学进展,2013,28(5):572-576.]
[33]	Culverhouse P F,Williams R,Reguera B,et al.Automatic categorisation of 23 species of dinoflagellate by artificial neural network[J]. Marine Ecology Progress Series,1996, 139:281-287.
[34]	Culverhouse P F,Williams R,Reguera B,et al. Do experts make mistakes?[J]. Marine Ecology Progress Series,2003,247:17-25.
[35]	Pech-Pacheco J L,Alvarez-Borrego J. Optical-digital system applied to the identification of five phytoplankton species[J].Marine Biology,1998,132: 357-365.
[36]	Hu Q,Davis C. Accurate automatic quantification of taxa-specific plankton abundance using dual classification with correction[J]. Marine Ecology Progress Series,2006,306: 51-61.
[37]	Kocak D M,Niel da Vitoria Lobo,Widder E A. Computer vision techniques for quantifying,tracking,and identifying bioluminescent plankton[J].IEEE Journal of Oceanic Engineering,1999,24(1): 81-95.
[38]	Chang C Y,Ho P C,Sastri A R,et al. Methods of training set construction: Towards improving performance for automated mesozooplankton image classification systems[J].Continental Shelf Research,2012,36: 19-28.
[39]	Vandromme P,Stemmanna L,Garcìa-Comas C,et al.Assessing biases in computing size spectra of automatically classified zooplankton from imaging systems:A case study with the ZooScan integrated system[J].Methods in Oceanography,2012,1/2:3-21.
[40]	Zhao Wencang, Ji Guangrong, Zhou Lijian, et al. Study of recognition method of phytoplankton cell image[J]. Computer Engineering, 2005, 31(24): 143-145.
	[赵文仓,姬光荣,周立俭,等. 浮游植物细胞图像识别方法的研究[J].计算机工程,2005,31(24):143-145.]
[41]	Yang Rong, Zhang Rong, Sun Song. Automated classification of zooplankton based on digital image processing[J].Computer Simulation, 2006, 23(5): 167-170.
	[杨榕,张荣,孙松. 基于图像处理技术的浮游生物自动分类研究[J]. 计算机仿真,2006,23(5):167-170.]
[42]	Ashjiana C J, Gallager S M, Plourde S. Transport of plankton and particles between the Chukchi and Beaufort Seas during summer 2002, described using a Video Plankton Recorder[J]. Deep-Sea Research II: Topical Studies in Oceanography, 2005,52: 3259-3280.
[43]	Gorsky G, Flood P R, Youngbluth M, et al. Zooplankton distribution in four western Norwegian Fjords[J].Estuarine, Coastal and Shelf Science, 2000, 50: 129-135.
[44]	Stemmann L G,Gorsky J C,Marty M,et al. Four-year study of large-particle vertical distribution (0-1 000 m) in the NW Mediterranean in relation to hydrology phytoplankton, and vertical flux[J].Deep-Sea Research II:Topical Studies in Oceanography,2002,49: 2143-2162.
[45]	Hosia A,Stemmann L,Youngbluth M. Distribution of net-collected planktonic cnidarians along the northern Mid-Atlantic Ridge and their associations with the main water masses[J].Deep-Sea Research II: Topical Studies in Oceanography,2008,55: 106-118.
[46]	Gaard E,Gislason A,Falkenhaug T,et al. Horizontal and vertical copepod distribution and abundance on the Mid-Atlantic Ridge in June[J].Deep-Sea Research II:Topical Studies in Oceanography,2004, 51: 59-71.
[47]	García-Comas C,Stemmann L,Ibanez F,et al. Zooplankton long-term changes in the NW Mediterranean Sea: Decadal periodicity forced by winter hydrographic conditions related to large-scale atmospheric changes?[J]. Journal of Marine Systems,2011,87: 216-226.
[48]	Sieracki C K, Sieracki M E,Yentsch C S. An imaging-in-flow system for automated analysis of marine microplankton[J]. Marine Ecology Progress Series,1998,168: 285-296.
[49]	Martin E S, Harris R P, Irigoien X. Latitudinal variation in plankton size spectra in the Atlantic Ocean[J].Deep-Sea Research II:Topical Studies in Oceanography, 2006, 53:1560-1572.
[50]	Marcolin C R,Schultes S,Jackson G A,et al. Plankton and seston size spectra estimated by the LOPC and ZooScan in the Abrolhos Bank ecosystem (SE Atlantic)[J].Continental Shelf Research, 2013,70:74-87.
[51]	Carstense J, Jakobsen H H. FlowCAM: Sizing cells and understanding the impact of size distributions on biovolume of planktonic community structure[J]. Aquatic Microbial Ecology, 2011, 65: 75-87.
[52]	Álvarez E, López-Urrutia Á, Nogueira E, et al. How to effectively sample the plankton size spectrum? A case study using FlowCAM[J]. Journal of Plankton Research, 2011, 33: 1119-1123.
[53]	Guidi L,Jackson G A,Stemmann L,et al. Relationship between particle size distribution and flux in the mesopelagic zone[J]. Deep-Sea Research I: Oceanographic Research Papers, 2008,55: 1364-1374.
[54]	Wiebe P H,Boyd S,Cox J L.Relationships between zooplankton displacement volume,wet weight,dry weight,and carbon[J]. Fishery Bulletin,1975,73: 777-786.
[55]	Uye S. Length-Weight relationships of important zooplankton fron the Inland Sea of Japan[J]. Journal of Oceanography Society of Japan,1982,38: 149-158.
[56]	Lehette P,Hernandez-leon S. Zooplankton biomass estimation from digitized images: A comparison between subtropical and Antarctic organisms[J]. Limnology and Oceanography: Methods,2009,7: 304-308.
[57]	Alcaraz M,Saiz E,Calbet A,et al. Estimating zooplankton biomass through image analysis[J]. Marine Biology,2003,143: 307-315.
[58]	Hernández-León S, Montero I. Zooplankton biomass estimated from digitalized images in Antarctic waters: A calibration exercise[J]. Journal of Geophysical Research:Oceans,2006,111:C05S03, doi:1029/2005JC002.887.
[59]	Di Mauro R,Cepeda G,Capitanio F,et al. Using ZooImage automated system for the estimation of biovolume of copepods from the northern Argentine Sea[J]. Journal of Sea Research,2011,66: 69-75.
[60]	Sun Song, Bi Yongkun, Sun Xiaoxia. Relationship between shape parameters and dry weight of the dominant zooplankton in Jiaozhou Bay based on image method[J]. Oceanologia et Limnologia Sinica, 2013,44(1):15-22.
	[孙松,毕永坤,孙晓霞.基于图像技术的胶州湾浮游动物优势种体型参数与生物量转换关系研究[J].海洋与湖沼,2013,44(1):15-22.]
[61]	Feng Qiuyuan. The Study of Size-Biomass Relationships of Dominant Species of Yellow Sea and East China Sea throught Image Technology[D]. Beijing: University of Chinese Academy of Sciences,2013.
	[冯秋园.基于图像技术的黄东海浮游动物优势种群体型—生物量转换关系研究[D]. 北京:中国科学院大学,2013.]

[1]	孙晓霞, 孙松. 海洋浮游生物图像观测技术及其应用[J]. 地球科学进展, 2014, 29(6): 748-755.

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摘要

Automated Marine Plankton Image Techniques and Its Application