Literature DB >> 33592473

Biovolume and surface area calculations for microalgae, using realistic 3D models.

Gábor Borics1, Verona Lerf1, Enikő T-Krasznai1, Igor Stanković2, Levente Pickó3, Viktória Béres1, Gábor Várbíró4.   

Abstract

Morphology and spatial dimensions of microalgal units (cells or colonies) are among the most relevant traits of planktic algae, which have a pronounced impact on their basic functional properties, like access to nutrients or light, the velocity of sinking or tolerance to grazing. Although the shape of algae can be approximated by geometric forms and thus, their volume and surface area can be calculated, this approach cannot be validated and might have uncertainties especially in the case of complicated forms. In this study, we report on a novel approach that uses real-like 3D mesh objects to visualize microalgae and calculates their volume and surface area. Knowing these dimensions and their intraspecific variabilities, we calculated specific shape and surface area constants for more than 300 forms, covering more than two thousand taxa. Using these constants, the accurate volume and surface area can be quickly computed for each taxon and having these values, morphology-related metrics like surface area/volume ratio, the diameter of spherical equivalent can also be given quickly and accurately. Besides their practical importance, the volume and surface area constants can be considered as size-independent morphological traits that are characteristic for the microalgal shapes, and provide new possibilities of data analyses in the field of phytoplankton ecology.
Copyright © 2021 The Authors. Published by Elsevier B.V. All rights reserved.

Entities:  

Keywords:  3D models; Biovolume; Freshwater; Phytoplankton; Surface area

Mesh:

Year:  2021        PMID: 33592473     DOI: 10.1016/j.scitotenv.2021.145538

Source DB:  PubMed          Journal:  Sci Total Environ        ISSN: 0048-9697            Impact factor:   7.963


  1 in total

1.  A Comprehensive Survey with Quantitative Comparison of Image Analysis Methods for Microorganism Biovolume Measurements.

Authors:  Jiawei Zhang; Chen Li; Md Mamunur Rahaman; Yudong Yao; Pingli Ma; Jinghua Zhang; Xin Zhao; Tao Jiang; Marcin Grzegorzek
Journal:  Arch Comput Methods Eng       Date:  2022-09-06       Impact factor: 8.171

  1 in total

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