title: Taxonomic classification of phytoplankton with multivariate optical computing, part I: design and theoretical performance of multivariate optical elements.
abstract: Phytoplankton are single-celled, photosynthetic algae and cyanobacteria found in all aquatic environments. Differential pigmentation between phytoplankton taxa allows use of fluorescence excitation spectroscopy for discrimination and classification. For this work, we applied multivariate optical computing (MOC) to emulate linear discriminant vectors of phytoplankton fluorescence excitation spectra by using a simple filter-fluorometer arrangement. We grew nutrient-replete cultures of three differently pigmented species: the coccolithophore Emiliania huxleyi, the diatom Thalassiosira pseudonana, and the cyanobacterium Synechococcus sp. Linear discriminant analysis (LDA) was used to determine a suitable set of linear discriminant functions for classification of these species over an optimal wavelength range. Multivariate optical elements (MOEs) were then designed to predict the linear discriminant scores for the same calibration spectra. The theoretical performance specifications of these MOEs are described.
authors.affiliation: Department of Chemistry and Biochemistry, University of South Carolina, Columbia, South Carolina 29208, USA.
authors.forename: Joseph A
authors.initials: JA
authors.lastname: Swanstrom
authors.forename: Laura S
authors.initials: LS
authors.lastname: Bruckman
authors.forename: Megan R
authors.initials: MR
authors.lastname: Pearl
authors.forename: Michael N
authors.initials: MN
authors.lastname: Simcock
authors.forename: Kathleen A
authors.initials: KA
authors.lastname: Donaldson
authors.forename: Tammi L
authors.initials: TL
authors.lastname: Richardson
authors.forename: Timothy J
authors.initials: TJ
authors.lastname: Shaw
authors.forename: Michael L
authors.initials: ML
authors.lastname: Myrick
mesh_terms: D000465:Algorithms; D016002:Discriminant Analysis; D058087:Haptophyta / Q000737:chemistry / Q000145:classification; D008962:Models, Theoretical; D055095:Optics and Photonics / Q000379:methods*; D010839:Phytoplankton / Q000737:chemistry* / Q000145:classification*; D012815:Signal Processing, Computer-Assisted; D013050:Spectrometry, Fluorescence / Q000295:instrumentation* / Q000379:methods*; D058009:Stramenopiles / Q000737:chemistry / Q000145:classification; D046940:Synechococcus / Q000737:chemistry / Q000145:classification