Modeling nutrient impacts on microalgae cells via image analyses | Zendy

McConico Morgan B. | Zendy; Vogt Frank | Zendy

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Modeling nutrient impacts on microalgae cells via image analyses

Author(s) -

McConico Morgan B.,

Vogt Frank

Publication year - 2013

Publication title -

journal of chemometrics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.47

H-Index - 92

eISSN - 1099-128X

pISSN - 0886-9383

DOI - 10.1002/cem.2510

Subject(s) - multivariate statistics , biological system , chemometrics , image (mathematics) , computer science , biochemical engineering , nonlinear regression , regression , regression analysis , nonlinear system , nutrient , bayesian multivariate linear regression , multivariate analysis , environmental science , artificial intelligence , process engineering , machine learning , data mining , mathematics , chemistry , statistics , engineering , biology , physics , quantum mechanics , organic chemistry

A nonlinear multivariate regression methodology is presented for modeling the responses of microalgae cells regarding their physical appearance (size, shape) to shifts in their chemical environment. This chemometric approach builds on a novel image analysis method recently published in this Journal and augments it such that: (i) the measured effect is expressed mathematically rather than described empirically and (ii) incorporates effects of multiple ambient parameters so that their interactions can be investigated. Copyright © 2013 John Wiley & Sons, Ltd.

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