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Modeling nutrient impacts on microalgae cells via image analyses

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.