Analysis of Flow Injection Peaks with Orthogonal Polynomials

Lee, O.; Dumont, Gerald; Tournier, Pierre Henri; Wade, Adrian P.

doi:10.1021/ac00079a008

Cited by 7 publications

(3 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Recently, several groups chose to treat the scale parameter as an optimization parameter and automated its search as part of the LSD (Lee et al , 1994; McCombie et al , 2005; Boukis et al , 2006; Dankers and Westwick, 2006; Dabir et al , 2009). The dimension parameter was selected based on subsequent analysis on information-theoretic metrics, such as Minimal Description Length (Dabir et al , 2009), or Akaike Information Criteria (Lee et al , 1994).…”

Section: Introductionmentioning

confidence: 99%

“…The dimension parameter was selected based on subsequent analysis on information-theoretic metrics, such as Minimal Description Length (Dabir et al , 2009), or Akaike Information Criteria (Lee et al , 1994). Alternatively, the selection of α could also be based on information-theoretic metrics (Yuan et al , 1999) or other sub-optimal criteria (Fu and Dumont, 1993; Tanguy et al , 1995; Dankers and Westwick, 2010).…”

Section: Introductionmentioning

confidence: 99%

“…Recently, several groups chose to treat the scale parameter as an optimization parameter and automated its search as part of the LSD (Lee et al 1994, McCombie et al 2005, Boukis et al 2006, Dankers and Westwick 2006, Dabir et al 2009. The dimension parameter was selected based on subsequent analysis on information-theoretic metrics, such as minimal description length (Dabir et al 2009) or Akaike information criteria (Lee et al 1994). Alternatively, the selection of α could also be based on information-theoretic metrics or other sub-optimal criteria (Fu and Dumont 1993, Tanguy et al 1995, Dankers and Westwick 2010.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A novel method for fast and robust estimation of fluorescence decay dynamics using constrained least-squares deconvolution with Laguerre expansion

Liu¹,

Sun²,

Qi³

et al. 2012

Phys. Med. Biol.

104

118

View full text Add to dashboard Cite

We report a novel method for estimating fluorescence impulse response function (fIRF) from noise-corrupted time-domain fluorescence measurements of biological tissue. This method is based on the use of higher-order Laguerre basis functions (LBFs) and a constrained least-square (CLS) approach that addresses the problem of overfitting due to increased model complexity. The method was extensively evaluated on fluorescence data from simulation, fluorescent standard dyes, ex vivo tissue samples of atherosclerotic plaques, and in vivo oral carcinoma. Current results demonstrate that this new method allows for rapid and accurate deconvolution of multiple channel fluorescence decays without adaptively adjusting the Laguerre scale parameter. The appropriate choice of the scale parameter is essential for accurate estimation of the fIRF. The method described here is anticipated to play an important role in the development of computational techniques for real-time analysis of time-resolved fluorescence data from biological tissues and to support the advancement of fluorescence lifetime instrumentation for biomedical diagnostics by providing a means for on-line robust analysis of fluorescence decay.

show abstract