Chlorophyll content of Plešné Lake phytoplankton cells studied with image analysis

被引:0
|
作者
Jiří Nedoma
Linda Nedbalová
机构
[1] Institute of Hydrobiology,Biology Centre of the Academy of Sciences of the Czech Republic
[2] Charles University in Prague,Faculty of Science, Department of Ecology
[3] Academy of Sciences of the Czech Republic,Institute of Botany
来源
Biologia | 2006年 / 61卷
关键词
Cellular chlorophyll content; image analysis; acidified lake; vertical profile; filamentous cyanobacteria;
D O I
暂无
中图分类号
学科分类号
摘要
Using image analysis, chlorophyll autofluorescence was measured in single cells of green alga Monoraphidium dybowskii and in filaments of cyanobacteria (Pseudanabaena sp. and Limnothrix sp.) in the vertical profile of small acidified mountain lake Plešné jezero (Plešné Lake) from May to November of 2003. Cell chlorophyll autofluorescence was converted to cell chlorophyll content using a conversion factor determined by comparing the total autofluorescence of phytoplankton in a microscope field with spectrophotometrically determined total chlorophyll concentration; the conversion factor did not differ between epilimnion (0.5 m depth) and hypolimnion (9 m depth). Vertical patterns of chlorophyll concentration and of cellular chlorophyll content depended on water column mixing: during the period of stable thermal stratification, a metalimnetic peak in total chlorophyll concentration was present and cellular chlorophyll contents in the metalimnion and hypolimnion were notably elevated compared to the surface. Monotonous vertical profiles of both total chlorophyll concentration and cell chlorophyll content were typical for the period of water column overturn. During the stratification period, hypolimnetic Monoraphidium cell chlorophyll content was on average twice as high (maximum difference 2.7-fold) compared to surface values (of 3.2–12.9 fg µm−3), while in filamentous cyanobacteria (surface cell chlorophyll content of 2.2–13.3 fg µm−3), the difference was much higher — six-fold on average, with an 11.6-fold maximum value. The values measured with image analysis in 2003 were compared to unpublished values of total phytoplankton biomass-specific chlorophyll concentrations obtained using manual phytoplankton biomass determination and spectrophotometric chlorophyll measurement in 1998 at the same locality. Good agreement was found in seasonal patterns and vertical profiles of chlorophyll between both seasons.
引用
收藏
页码:S491 / S498
相关论文
共 50 条
  • [31] Application of regression and artificial neural network analysis of Red-Green-Blue image components in prediction of chlorophyll content in microalgae
    Tang, Doris Ying Ying
    Chew, Kit Wayne
    Ting, Huong-Yong
    Sia, Yuk-Heng
    Gentili, Francesco G.
    Park, Young-Kwon
    Banat, Fawzi
    Culaba, Alvin B.
    Ma, Zengling
    Show, Pau Loke
    BIORESOURCE TECHNOLOGY, 2023, 370
  • [32] Non-destructive evaluation of chlorophyll content in quinoa and amaranth leaves by simple and multiple regression analysis of RGB image components
    Riccardi, M.
    Mele, G.
    Pulvento, C.
    Lavini, A.
    d'Andria, R.
    Jacobsen, S. -E.
    PHOTOSYNTHESIS RESEARCH, 2014, 120 (03) : 263 - 272
  • [33] Assessment of spinach seedling health status and chlorophyll content by multivariate data analysis and multiple linear regression of leaf image features
    Agarwal, Avinash
    Gupta, Snehasish Dutta
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2018, 152 : 281 - 289
  • [34] Non-destructive evaluation of chlorophyll content in quinoa and amaranth leaves by simple and multiple regression analysis of RGB image components
    M. Riccardi
    G. Mele
    C. Pulvento
    A. Lavini
    R. d’Andria
    S. -E. Jacobsen
    Photosynthesis Research, 2014, 120 : 263 - 272
  • [35] Intelligent image analysis (IIA) using artificial neural network (ANN) for non-invasive estimation of chlorophyll content in micropropagated plants of potato
    S. Dutta Gupta
    A. K. Pattanayak
    In Vitro Cellular & Developmental Biology - Plant, 2017, 53 : 520 - 526
  • [36] Intelligent image analysis (IIA) using artificial neural network (ANN) for non-invasive estimation of chlorophyll content in micropropagated plants of potato
    Gupta, S. Dutta
    Pattanayak, A. K.
    IN VITRO CELLULAR & DEVELOPMENTAL BIOLOGY-PLANT, 2017, 53 (06) : 520 - 526
  • [37] RELATIONSHIP BETWEEN BANDING AND PHOTOSYNTHETIC ACTIVITY IN CHARA-CORALLINA AS STUDIED BY THE SPATIALLY DIFFERENT INDUCTION CURVES OF CHLOROPHYLL FLUORESCENCE OBSERVED BY AN IMAGE-ANALYSIS SYSTEM
    PLIETH, C
    TABRIZI, H
    HANSEN, UP
    PHYSIOLOGIA PLANTARUM, 1994, 91 (02) : 205 - 211
  • [38] High content image analysis for human H4 neuroglioma cells exposed to CuO nanoparticles
    Li, Fuhai
    Zhou, Xiaobo
    Zhu, Jinmin
    Ma, Jinwen
    Huang, Xudong
    Wong, Stephen T. C.
    BMC BIOTECHNOLOGY, 2007, 7 (1)
  • [39] QUANTIFICATION BY IMAGE-ANALYSIS OF IMMUNOCYTOCHEMICAL REACTIONS - APPLICATION FOR DETERMINATION OF LYSOZYME CONTENT IN INDIVIDUAL SMEARED CELLS
    CHAMPELOVIER, P
    SEIGNEURIN, D
    CHRISTOPHE, P
    KOLODIE, L
    JOURNAL OF HISTOCHEMISTRY & CYTOCHEMISTRY, 1991, 39 (01) : 31 - 36
  • [40] High content image analysis for human H4 neuroglioma cells exposed to CuO nanoparticles
    Fuhai Li
    Xiaobo Zhou
    Jinmin Zhu
    Jinwen Ma
    Xudong Huang
    Stephen TC Wong
    BMC Biotechnology, 7