Microalgae biomass quantification by digital image processing and RGB color analysis-Reference-Cited by-同舟云学术

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Microalgae biomass quantification by digital image processing and RGB color analysis

Published:2014-03-24 Issue:1 Volume:27 Page:205-209
ISSN:0921-8971
Container-title:Journal of Applied Phycology
language:en
Short-container-title:J Appl Phycol

Author:

Sarrafzadeh Mohammad H.,La Hyun-Joon,Lee Jae-Yon,Cho Dae-Hyun,Shin Sang-Yoon,Kim Woo-Jin,Oh Hee-Mock

Publisher

Springer Science and Business Media LLC

Subject

Plant Science,Aquatic Science

Link

http://link.springer.com/content/pdf/10.1007/s10811-014-0285-7.pdf

Reference21 articles.

1. Barnard K, Funt B (2002) Camera characterization for color research. Color Res Appl 27:152–163

2. Chen X, Goh QY, Tan W, Hossain I, Chen WN, Lau R (2011) Lumostatic strategy for microalgae cultivation utilizing image analysis and chlorophyll a content as design parameters. Bioresour Technol 102:6005–6012

3. Chisti Y (2007) Biodiesel from microalgae. Biotechnol Adv 25:294–306

4. Coltelli P, Barsanti L, Evangelista V, Frassanito AM, Passarelli V, Gualtieri P (2013) Automatic and real time recognition of microalgae by means of pigment signature and shape. Environ Sci-Proc Impac 15:1397–1410

5. Córdoba-Matson M, Gutiérrez J, Porta-Gándara M (2010) Evaluation of Isochrysis galbana (clone T-ISO) cell numbers by digital image analysis of colour intensity. J Appl Phycol 22:427–434

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