期刊
METHODS AND APPLICATIONS IN FLUORESCENCE
卷 5, 期 4, 页码 -出版社
IOP Publishing Ltd
DOI: 10.1088/2050-6120/aa8055
关键词
TCSPC; deterministic and probabilistic analysis; exponential series method; maximum entropy method; basis pursuit denoising; iterative reconvolution; 2-aminopurine
资金
- Engineering and Physical Sciences Research Council Doctoral Training Account (University of Edinburgh)
- University of Melbourne
We review various methods for analysing time-resolved fluorescence data acquired using the time-correlated single photon counting method in an attempt to evaluate their benefits and limitations. We have applied these methods to both experimental and simulated data. The relative merits of using deterministic approaches, such as the commonly used iterative reconvolution method, and probabilistic approaches, such as the smoothed exponential series method, the maximum entropy method and recently proposed basis pursuit denoising (compressed sensing) method, are outlined. In particular, we show the value of using multiple methods to arrive at the most appropriate choice of model. We show that the use of probabilistic analysis methods can indicate whether a discrete component or distribution analysis provides the better representation of the data.
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