ZooSCAN is mainly used for counting, size measurement, species identification and biomass determination of zooplankton samples in liquid.
ZooSCAN is composed of ZooSCAN, ZooProcess and Plankton Identifer (PkID), etc. ZooSCAN is the hardware part, mainly scanning zooplankton samples to form digital images. ZooProcess and PkID are parts of the software, which process the original images with standardized programs, automatically measure the morphological parameters of different individuals, and automatically classify and count the zooplankton in the images. Its basic workflow includes: 1) scanning the blank background; 2) scan the sample to obtain the original picture and metadata information; 3) standardized the original image through ZooProcess software, extracted and measured the morphological parameters of different individuals in the image; 4) establish image training database through PkID software and conduct performance verification; 5) for the scanned sample images, automatic identification of zooplankton was conducted to obtain the number of zooplankton in different groups; 6) the extraction and analysis of morphological parameters can further obtain the particle size composition, biological volume and other information of the sample.
Application: ecological investigation, fishery, aquaculture, education.
In recent years, researchers from the institute of oceanography of the Chinese academy of sciences have used ZooScan image scanning technology to establish the regression relationship between body length, area and volume and dry weight of the dominant zooplankton species in jiaozhou bay, daphnia chinensis and arrowworm. The differences between different seasons and different parameters were compared. The results showed that there was no significant difference between the regression relationships in different months, and among the three body size parameters, the area fitting degree of biomass was the best. The relation between body size and biomass of daphnia sinensis and sinew sinew can be expressed as :lgDW=1.61lgA+1.69,lgDW=1.54lgA+1.32.
The ZooSCAN has been comprehensively upgraded by the manufacturer. In view of the work needs, the institute of oceanography of the Chinese academy of sciences has again purchased a ZooSCAN zooplankton image scanning and analysis system, which has greatly enhanced the ability of the institute of oceanography to study the ecological environment of jiaozhou bay.
Representative literature:
1.孫 松, 畢永坤, 孫曉霞,2013.基于圖像技術(shù)的膠州灣浮游動物優(yōu)勢種體型參數(shù)與生物量轉(zhuǎn)換關(guān)系研究(RELATIONSHIP BETWEEN SHAPE PARAMETERS AND DRY WEIGHT OF THE DOMINANT ZOOPLANKTON IN JIAOZHOU BAY BASED ON IMAGE METHOD).海洋與湖沼(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.孫曉霞, 孫 松, 王世偉, 劉夢壇, 趙永芳,2011."圖像自動識別技術(shù)在膠州灣浮游動物生態(tài)學(xué)研究中的應(yīng)用(APPLICATION OF AUTOMATED IMAGE IDENTIFICATION IN ZOOPLANKTON
ECOLOGY STUDIES IN THE JIAOZHOU BAY)".海洋與湖沼(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.
