HYDROPTIC: ZooSCAN Imaging System for Aquatic Ecology-Qingdao Watertools Technology Co., Ltd.

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HYDROPTIC SARL

HYDROPTIC: ZooSCAN Imaging System for Aquatic Ecology

Category: Zooplankton Scanner
Art.No.: ZooSCAN
Keywords: ZooSCAN,Zooplankton Scanner
Supplier: Qingdao Watertools Technology?Co., Ltd.

Introduction:

The ZooSCAN (CNRS patent) system makes use of scanner technology with custom lighting and a watertight scanning chamber into which liquid zooplankton samples can be placed. The scanner recovers a high-resolution, digitial image and the sample can be recovered without damage. (You can download an example image exactly as it was recovered here.) These digital images can then be investigated by computer processing.While the resolution of the digitized zooplankton images is lower than the image obtained using a binocular microscope this technique has proved to be more than adequate for large sample sets. Identification of species is done by automatic comparison of the image (vignette) of each individual animal in the scanned image with a library data set which may be built by the investigator for each individual survey or imported from a previous survey. The latest machine learning algorithm allows high recognition levels even if we recommend complementary manual sorting to achieve a high number of taxonomic groups (see JPR ZooSCAN article.)

详细介绍

法国HYDROPTIC公司——ZooSCAN浮游动物图像扫描分析系统

图片39.png 图片40.png

ZooSCAN浮游动物图像扫描分析系︽统主要用于对液体中的浮游动物样品进行计数、大小测量、种类鉴定以∏及生物量测定。

ZooSCAN系统是由ZooSCAN、ZooProcess和EcoTaxa网站等共同组成的，ZooSCAN是硬◣件部分，主要进行浮游动物样品扫描，形成数字№图像。ZooProcess和EcoTaxa是软件部分，分别以标准化╱的程序处理原始图像、对不同个体的形态参数进行自动测量和对图像中的浮游动物进行自动分类⌒和计数。

ZooSCAN工作流程：

1)扫描空白背景；

2)扫描样品，获得原∑　始图片和元数据信息；

3)通过ZooProcess软件，标准化原始图⊙片，提取并测量图片中不同个体的形态参数；

4)通过对形态学参数的提取与分析，可进一步获得样品的粒径组成、生物学体积等信息

5)过EcoTaxa网站Ψ已建立的图像培训数据库，针对已扫描的样品图像进行浮游动物的自动识别，获得不同类群浮游动物¤的数量。

ZooSCAN应用领域：

生态学调查、渔业、水产养殖、教育。

ZooSCAN原理：

图片46.png

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Microscope

实验室

ZooSCAN

实验室+野外(现场)

UVP

野外(水下原位)

ZooSCAN（CNRS专利）系统使用⌒扫描仪技术，这项技术带有传统照明设备和一个用于放置液体的浮游动物样品水密的扫描室。ZooSCAN可以记录高分辨率的数字化图像，然后这些数字化的图像可以通过电脑程序进行研究。虽然这个数字☉化的浮游动物图像比使用一个双目显微镜获得的图片的分辨率要低，但这项技术已被证实，在有大型样品种类时使用是再∩适合不过了。通过与EcoTaxa网站上已有的浮游动物数据库进行对照，可以自动的识别、鉴定样品中浮游动物的种类。

浮游动物识别、鉴定网站——EcoTaxa

EcoTaxa网站ω　主界面

EcoTaxa浮游动物分类界面

为什么使』用ZooSCAN？

传统分析方法(镜检)

◇ 需要▓专业人员

◇ 操作过程相当繁琐

◇ 后期㊣　数据处理工作量极大

ZooSCAN(超高质量图像扫描)

◇ 无需专业人员（建库之后）

◇ 操作过程非常①简单

◇ 后期数据由软件自动处理

ZooSCAN 规格：

◇ 型号：ZSCA04

◇ 规格 (LxWxH): 60 x 54 x 36 cm (关上盖子)

◇ 质量: 25 Kg

◇ 输入电压: 110 to 230 VAC, 50 to 60 Hz

◇ 接口: USB 2.0

ZooSCAN 特性：

◇ 应用(专)：专门用于浮游动物研究

◇ 功能(强)：自动鉴定、分类、计数、计算生物量

◇ 效率(高)：快速批量分析大量浮游动物样品

◇ 信息量(大)：经纬度、采样深度、网型、网口面积等

◇ 照明系统(优)：确保图像质◣量和对比度最佳

◇ 图像↘解析度(高)：4800dpi

◇ 图像分辨率(高)：14150 x 22640 (3.2亿像素,1GB)


ZooSCAN正在进行扫描	回收ZooSCAN样品池中的样品

浮游动物样品池，透明度极佳	ZooSCAN主机+ZooProcess软件

代表文献：

1.孙松, 毕永坤, 孙晓霞,2013.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(RELATIONSHIP BETWEEN SHAPE PARAMETERS AND DRY WEIGHT OF THE DOMINANT ZOOPLANKTON IN JIAOZHOU BAY BASED ON IMAGE METHOD).海洋与湖沼(OCEANOLOGIA ET LIMNOLOGIA SINICA).44(1):15:22.

2.Pieter Vandromme, Lars Stemmann, Carmen Garcìa-Comas, Léo Berline, Xiaoxia Sun, Gaby Gorsky,2012.Assessing biases in computing size spectra of automatically classified zooplankton from imaging systems: A case study with the ZooScan integrated system.Methods in Oceanography.1–2:3–21.

3.Stéphanie Lelièvre, Elvire Antajan, and Sandrine Vaz,2012.Comparison of traditional microscopy and digitized image analysis to identify and delineate pelagic fish egg spatial distribution.Journal of Plankton Research.34(6):470-483.

4.Jesse R. Powell and Mark D. Ohman,2012.Use of glider-class acoustic Doppler profilers for estimating zooplankton biomass.Journal of Plankton Research.34(6):563-568.

5.Hirche, H., Alfred Wegener Inst. for Polar & Marine Res., Bremerhaven, Germany, Schulz, J., Hanken, T.,2012.A modular imaging system for collection and analysis of live and preserved zooplankton samples.OCEANS, 2012 - Yeosu.(1-4).

6.Lin Ye, Chun-Yi Chang, Chih-hao Hsieh,2011.Bayesian model for semi-automated zooplankton classification with predictive confidence and rapid category aggregation.Marine Ecology Progress Series.441:185-196.

7.孙晓霞, 孙松, 王世伟, 刘梦坛, 赵永芳,2011."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(APPLICATION OF AUTOMATED IMAGE IDENTIFICATION IN ZOOPLANKTON

ECOLOGY STUDIES IN THE JIAOZHOU BAY)".海洋与湖沼(OCEANOLOGIA ET LIMNOLOGIA SINICA).42(5):647:653.

8.Gaby Gorsky, Mark D. Ohman, Marc Picheral, Stéphane Gasparini, Lars Stemmann, Jean-Baptiste Romagnan, Alison Cawood, Stéphane Pesant, Carmen García-Comas and Franck Prejger,2010.Digital zooplankton image analysis using the ZooScan integrated system.Journal of Plankton Research.32(3):285-303.

9.Sabine Schultes, Rubens Lopes,2009.Laser Optical Plankton Counter and Zooscan intercomparison in tropical and subtropical marine ecosystems.Limnology and Oceanography.771-784.

10.LISA R. GILFILLAN, MARK D. OHMAN,2009.OCCURRENCE OF PLASTIC MICRO-DEBRIS IN THE SOUTHERN CALIFORNIA CURRENT SYSTEM.CalCOFI Rep..Vol. 50, 2009.

11.Fabien JOUENNE, Ian PROBERT and Daniel VAULOT,2008.Plankton taxonomy in the computer age.Cah. Biol. Mar..49 : 355-367.

12."G. Gorsky, L. Stemmann, R. Rakotomalala, S. Gasparini, F. Ibanez, E. Antajan, M. Picheral, C. Garcia

Comas",2007.HARMONIZATION OF SAMPLING METHODS AND TREATMENT OF ZOOPLANKTON TIME SERIES.Rapp. Comm. int. Mer Médit., 38, 2007.490.

13.L. Stemmann, J.B. Romagnan, M.G. Mazzocchi, C. Garcia Comas, E. Antajan, M. Picheral, N.J. Daly Yahia, G. Gorsky,2007.ZOOPLANKTON COMMUNITY STRUCTURE AND SIZE DISTRIBUTION IN THE SOUTHERN TYRRHENIAN SEA DURING THE 2005 CIESM SUB 1 AND SUB 2 CRUISES.Rapp. Comm. int. Mer Médit., 38, 2007.606.

14."By Mark C. Benfi eld, Phi l ipp e Gros j ean, Phi l F. Culverhouse , Xabi er Irigoi en,

Michael E . Si eracki , An gel Lopez-Urrutia, Hans G. Dam, Qiao Hu,

Cabel l S . Davis , Al len Hansen, Cynthia H. Pi l skaln, Edward M. Riseman,

H oward Sc hultz, Paul E . Utgoff, and Gabri el Gorsky",2007.RAPID: research on automated plankton identification.Oceanography.20(2):172-187.

15.par Warembourg, C., Grosjean, Philippe, Picheral, M., Ibanez, F., Gorsky, G.,2005.Le ZOOSCAN: un système d’imagerie rapide pour la mesure et la classification automatique du zooplancton.Référence J. Recherche Océanographique, 30, (page 1-12) ..

16.Philippe Grosjean, Marc Picheral, Caroline Warembourg and Gabriel Gorsky,2004.Enumeration, measurement, and identification of net zooplankton samples using the ZOOSCAN digital imaging system.ICES Journal of Marine Science.61(4):518-525.

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