Modeling nutrient impacts on microalgae cells via image analyses

Journal of Chemometrics

Volumn 27, Issue 7-8, 2013, Pages 217-219

  Mcconico, Morgan B ^a   Vogt, Frank ^a  

^a UNIVERSITY OF TENNESSEE   (United States)

Author keywords

Environmental monitoring; Image analyses; Microalgal cells; Multivariate nonlinear regression

Indexed keywords

IMAGE ANALYSIS; MICROORGANISMS; MULTIVARIANT ANALYSIS; REGRESSION ANALYSIS;

AMBIENTS; CHEMICAL ENVIRONMENT; CHEMOMETRIC APPROACH; ENVIRONMENTAL MONITORING; IMAGE ANALYSIS METHOD; IMAGE ANALYZE; MICRO-ALGAE; MICROALGAL CELL; MULTIVARIATE NON-LINEAR REGRESSION; MULTIVARIATE REGRESSION;

MICROALGAE;

EID: 84881586823     PISSN: 08869383     EISSN: 1099128X     Source Type: Journal    
DOI: 10.1002/cem.2510     Document Type: Article

References (5)

1. Horton R, McConico M, Landry C, Tran T, Vogt F. Introducing nonlinear, multivariate 'predictor surfaces' for quantitative modeling of chemical systems with higher-order, coupled predictor variables. Anal. Chim. Acta 2012; 746: 1-14.
2. McConico M, Horton R, Witt K, Vogt F. Monitoring chemical impacts on cell cultures by means of image analyses. J. Chemom. 2012; 26: 585-597.
3. Vogt F, Gritti F, Guiochon G. Polynomial multivariate least-squares regression for modeling nonlinear data applied to in-depth characterization of chromatographic resolution. J. Chemom. 2011; 25: 575-585.
4. Box G, Draper N. Empirical Model-building and Response Surfaces. John Wiley & Sons: New York, NY, 1987.
5. Galassi M, Davies J, Theiler J, Gough B, Jungman G, Alken P, Booth M, Rossi F. GNU Scientific Library Reference Manual (3rd ed., software v 1.12). Network Theory Ltd, 2009.