Optimization methods for characterization of single particles from light scattering patterns
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Title | Optimization methods for characterization of single particles from light scattering patterns |
Authors | |
Abstract | We address the inverse light-scattering problem for particles described by a several-parameters model, when experimental data are given as an angle-resolved light-scattering pattern (LSP). This problem is reformulated as an optimization (nonlinear regression) problem, for which two solution methods are proposed. The first one is based on standard gradient optimization method, but with careful choice of the starting point. The second method is based on precalculated database of theoretical LSPs, from which the closest one to an experimental LSP is selected for characterization. We tested both methods for characterization of polystyrene microspheres using a scanning flow cytometer (SFC). |
Publisher | Accademia Peloritana dei Pericolanti |
Date | 2011-09-15 |
Source | 0365-0359 |
Rights | Articles and conference papers published in Atti della Accademia Peloritana dei Pericolanti – Classe di Scienze Fisiche, Matematiche e Naturali are distributed under the terms and conditions of a Creative Commons Attribution 3.0 Unported License (effective since 2009, Vol. 87). Correspondingly, authors who publish with this journal agree to the following terms:Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work´s authorship and initial publication in this journal.Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal´s published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access). |