Application of image analysis for algal biomass quantification: a low-cost and non-destructive method based on HSI color space

Algal biomass has been utilized as a potential feedstock for bioenergy and a variety of other bioprocesses. At the core of this topic, there is a general demand for rapid, cost-effective, and accurate methods for algal biomass quantification. Here, we present a simple, low-cost, and non-destructive...

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Bibliographic Details
Published in:Journal of applied phycology 2021-12, Vol.33 (6), p.3709-3717
Main Authors: Jiang, Mengqi, Nakano, Shin-ichi
Format: Article
Language:English
Subjects:
Algae
Biomass
Biomedical and Life Sciences
Color
Colour
Cost analysis
Ecology
Freshwater & Marine Ecology
Goodness of fit
Image analysis
Image processing
Life Sciences
Low cost
Methods
Nondestructive testing
Plant Physiology
Plant Sciences
Quantitative analysis
Saturation
Saturation (color)
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Summary:Algal biomass has been utilized as a potential feedstock for bioenergy and a variety of other bioprocesses. At the core of this topic, there is a general demand for rapid, cost-effective, and accurate methods for algal biomass quantification. Here, we present a simple, low-cost, and non-destructive method to estimate algal biomass concentrations by image analysis based on the hue, saturation, intensity (HSI) color space. The applicability of the HSI-based quantitative method was verified using experimental data from both the present study and the literature. In addition, the HSI-based quantitative method showed better goodness of fit and a significantly higher detection range than related methods used in the literature. The results indicate that the HSI-based quantitative method can be used as an effective method for algal biomass monitoring and quantification.
ISSN:0921-8971
1573-5176
DOI:10.1007/s10811-021-02571-4