2015
DOI: 10.1364/boe.6.002633
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Optimization of advanced Wiener estimation methods for Raman reconstruction from narrow-band measurements in the presence of fluorescence background

Abstract: Abstract:Raman spectroscopy has shown great potential in biomedical applications. However, intrinsically weak Raman signals cause slow data acquisition especially in Raman imaging. This problem can be overcome by narrow-band Raman imaging followed by spectral reconstruction. Our previous study has shown that Raman spectra free of fluorescence background can be reconstructed from narrow-band Raman measurements using traditional Wiener estimation. However, fluorescence-free Raman spectra are only available from … Show more

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Cited by 18 publications
(11 citation statements)
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“…44 There is still very much work in progress for standard measures of different SERS tags within and between laboratories. 45 In addition, some sophisticated techniques, such as multi-excitation, 46 Wiener estimation, 47 and mathematical statistical methods, 48,49 have been employed to suppress or remove the fluorescence background.…”
Section: Raman Spectroscopymentioning
confidence: 99%
“…44 There is still very much work in progress for standard measures of different SERS tags within and between laboratories. 45 In addition, some sophisticated techniques, such as multi-excitation, 46 Wiener estimation, 47 and mathematical statistical methods, 48,49 have been employed to suppress or remove the fluorescence background.…”
Section: Raman Spectroscopymentioning
confidence: 99%
“…Since the reconstruction of multispectral images from RGB images was originally developed in basic color sciences [22], this approach has recently received considerable attention in biomedical applications [23][24][25][26][27][28]. There are several methods available for reconstructing full reflectance spectra from RGB data, including pseudo-inverse, regression, Wiener estimation, and demultiplexing [23][24][25]29,30]. In particular, Wiener estimation depends largely on noise variances and spectral autocorrelation matrix calculations [31,32], requiring a priori knowledge of the spectral sensitivity of the sensor and the spectral power distribution of the illumination.…”
Section: Introductionmentioning
confidence: 99%
“…Nevertheless, the PLS analysis in this study highlighted certain spectral regions of note that could potentially be used for complementary techniques such as spectroscopic Raman imaging. We have previously demonstrated a method to take Raman images in the presence of fluorescence using Wiener estimation [40]. To accomplish this, a scanning system and programmable optical filter [41] can be added onto the existing instrument.…”
Section: Discussionmentioning
confidence: 99%