Reduction and segmentation of 4D data cubes for high-content Analysis FLIM-FRET

Authors
Omer, Travis J.
ORCID
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Other Contributors
Hahn, Juergen
Intes, Xavier
Wang, Ge, 1957-
Bequette, B. Wayne
Issue Date
2016-08
Keywords
Biomedical engineering
Degree
PhD
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
Abstract
An initial investigation seeks to elucidate the effect of the number and location of time gates on model parameter estimation accuracy. In silico experiments are used to obtain preliminary results which are then validated via in vitro and in vivo experimental data. It will be shown that 10 equally-spaced time gates allow the robust estimation of parameters of interest. Next, an optimal experimental design approach relying upon sensitivity analysis is used to better quantify parameter estimation using various numbers of time gates. Results are validated via in vivo experiments and compared to those obtained in the previous investigation. Finally, methods for estimation improvement and data reduction are developed and applied to a hyperspectral FLIM-FRET system. A global analysis algorithm enables improved estimation error margins while reducing the amount of data needed for accurate results. Furthermore, global analysis reduces the effect of experimental variations across a sample.
Description
August 2016
School of Engineering
Department
Dept. of Biomedical Engineering
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
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