title: The start-to-end chemometric image processing of 2D thin-layer videoscans.
abstract: The purpose of the research was to recommend a unified procedure of image preprocessing of 2D thin layer videoscans for further supervised or unsupervised chemometric analysis. All work was done with open source software. The videoscans saved as JPG files underwent the following procedures: denoising using a median filter, baseline removal with the rollerball algorithm and nonlinear warping using spline functions. The application of the proposed procedure enabled filtration of random difference between images (background intensity changes and spatial differences of the spots location). After the preprocessing only spot intensities have an influence on the performed PCA or other techniques. The proposed technique was successfully applied to recognize the differences between three Carex species from the 2D videoscans of the extracts. The proposed solution may be of value for the any chemometric task--both unsupervised and supervised.
authors.affiliation: Department of Medicinal Chemistry, Medical University of Lublin, Jaczewskiego 4, 20-090 Lublin, Poland.
authors.forename: Łukasz
authors.initials: Ł
authors.lastname: Komsta
authors.forename: Łukasz
authors.initials: Ł
authors.lastname: Cieśla
authors.forename: Anna
authors.initials: A
authors.lastname: Bogucka-Kocka
authors.forename: Aleksandra
authors.initials: A
authors.lastname: Józefczyk
authors.forename: Jakub
authors.initials: J
authors.lastname: Kryszeń
authors.forename: Monika
authors.initials: M
authors.lastname: Waksmundzka-Hajnos
mesh_terms: D000465:Algorithms; D031255:Carex Plant; D002855:Chromatography, Thin Layer / Q000379:methods*; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D010936:Plant Extracts / Q000737:chemistry; D025341:Principal Component Analysis; D014741:Video Recording
chemical_list: D010936:Plant Extracts