A new method for acquiring images of meiobenthic images using the FlowCAM

被引:13
|
作者
Kitahashi, Tomo [1 ]
Watanabe, Hiromi Kayama [1 ]
Tsuchiya, Masashi [1 ]
Yamamoto, Hideyuki [2 ]
Yamamoto, Hiroyuki [1 ]
机构
[1] Japan Agcy Marine Earth Sci & Technol JAMSTEC, 2-15 Natsushima Cho, Yokosuka, Kanagawa 2370061, Japan
[2] Am Lab Inc, Venture Plaza Funabashi 216,1-17-25 Kitahon Cho, Funabashi, Chiba 2730864, Japan
来源
METHODSX | 2018年 / 5卷
关键词
Meiobenthos; FlowCAM; Environmental monitoring; Seasonal variation;
D O I
10.1016/j.mex.2018.10.012
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
The purpose of this study was to develop a new method for investigating sediment-inhabiting meiobenthos using the Flow Cytometer And Microscope (FlowCAM). Meiobenthos are widely recognized as a useful indicator for assessing the effects of anthropogenic and natural disturbances in both shallow and deep ocean ecosystems. These small benthic invertebrates are traditionally investigated by individually counting and identifying specimens under a microscope, which is labor intensive and time consuming. However, FlowCAM, which was originally developed to semiautomatically analyze microplankton, has the potential to resolve these challenges. Meiobenthic specimens were extracted from sediment using the centrifugal separation method and were then pipetted into the FlowCAM system and imaged. The images were then used to classify and count the specimens at high taxonomic levels to verify the effectiveness of this method compared with traditional methods. We found that FlowCAM system: Enabled sufficient meiobenthic images to be obtained to allow the identification and classification of specimens at high taxonomic levels. Obtained comparable numbers of individuals to traditional methods. Has the potential to rapidly process large the volumes of meiobenthos samples that are required when monitoring seasonal and spatial variation in ocean ecosystems and conducting long-term environmental impact assessments. (C) 2018 The Author(s). Published by Elsevier B.V.
引用
收藏
页码:1330 / 1335
页数:6
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