Low-Cost Spectroscopy with a Variable Multivariate Optical Element

Uzunbajakava, N.; P, de Peinder; Gw, Taylor; At, van Gogh

doi:10.1021/ac060985o

Cited by 21 publications

(21 citation statements)

References 3 publications

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“…In spontaneous Raman spectroscopy, chemometric methods have been used for understanding hydrogen bonding 21 , detection of glucose levels 22 and bone degeneration 23 , and imaging of cells 24 . While these methods were used to analyze spectra computationally after data acquisition with a multi-element detector, recently multivariate optical computation employed a tailored multiband color filter in front of a single-element detector 25,26 . STE-SRS shares the same spirit, but tailors the excitation rather than emission spectra.…”

Section: Discussionmentioning

confidence: 99%

Highly specific label-free molecular imaging with spectrally tailored excitation-stimulated Raman scattering (STE-SRS) microscopy

et al. 2011

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Label-free microscopy with chemical contrast and high acquisition speed up to video-rate has recently been made possible by stimulated Raman scattering (SRS) microscopy. While SRS imaging offers superb sensitivity, the spectral specificity of the original narrowband implementation is limited, making distinguishing chemical species with overlapping Raman bands difficult. Here we present a highly specific imaging method that allows mapping of a particular chemical species in the presence of interfering species based on tailored multiplex excitation of its vibrational spectrum. This is done by spectral modulation of a broadband pump beam at a high-frequency (>1MHz), allowing detection of the stimulated Raman gain signal of the narrowband Stokes beam with high sensitivity. Using the scheme, we demonstrate quantification of cholesterol in the presence of lipids, and real-time three-dimensional spectral imaging of protein, stearic acid and oleic acid in live C.elegans.

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Section: Discussionmentioning

confidence: 99%

Highly specific label-free molecular imaging with spectrally tailored excitation-stimulated Raman scattering (STE-SRS) microscopy

et al. 2011

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“…In contrast, several previous studies have shown that chemometric techniques could be incorporated directly into the optical measurement process by using either static optical interference filters, 7 or tunable liquid crystal [8][9][10] or micromirror [11][12][13][14][15] based multivariate optical elements built into the spectrometer hardware. The general principle of these filters is to combine photons of various frequencies in a prescribed way in order to facilitate the estimation of a quantity of interest.…”

Section: -6mentioning

confidence: 99%

Optimal filters for high-speed compressive detection in spectroscopy

Buzzard

Lucier

2013

Computational Imaging XI

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Recent advances allow for the construction of filters with precisely defined frequency response for use in Raman chemical spectroscopy. In this paper we give a probabilistic interpretation of the output of such filters and use this to give an algorithm to design optimal filters to minimize the mean squared error in the estimated photon emission rates for multiple spectra. Experiments using these filters demonstrate that detecting as few as ∼10 Raman scattered photons in as little time as ∼30 µs can be sufficient to positively distinguish chemical species. This speed should allow "chemical imaging" of samples.

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“…As the Raman cross section is relatively weak, this methodology requires typically long acquisition times to overcome noise associated with detection hardware. To overcome these limits, new strategies have been recently implemented, mostly focused on spectrally multiplexed measurements that may enable faster or shot-noise limited performance [1][2][3][4][5][6]. Nevertheless, these "full spectrum" multiplexing methodologies still acquire data which might be not necessary for certain applications, such as in sorting chemical species whose Raman spectra are known.…”

Section: A Introductionmentioning

confidence: 99%

Precision of proportion estimation with binary compressed Raman spectrum

Réfrégier¹,

Scotté²,

Aguiar³

et al. 2017

J. Opt. Soc. Am. A

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The precision of proportion estimation with binary filtering of a Raman spectrum mixture is analyzed when the number of binary filters is equal to the number of present species and when the measurements are corrupted with Poisson photon noise. It is shown that the Cramer-Rao bound provides a useful methodology to analyze the performance of such an approach, in particular when the binary filters are orthogonal. It is demonstrated that a simple linear mean square error estimation method is efficient (i.e., has a variance equal to the Cramer-Rao bound). Evolutions of the Cramer-Rao bound are analyzed when the measuring times are optimized or when the considered proportion for binary filter synthesis is not optimized. Two strategies for the appropriate choice of this considered proportion are also analyzed for the binary filter synthesis.

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Low-Cost Spectroscopy with a Variable Multivariate Optical Element

Cited by 21 publications

References 3 publications

Highly specific label-free molecular imaging with spectrally tailored excitation-stimulated Raman scattering (STE-SRS) microscopy

Highly specific label-free molecular imaging with spectrally tailored excitation-stimulated Raman scattering (STE-SRS) microscopy

Optimal filters for high-speed compressive detection in spectroscopy

Precision of proportion estimation with binary compressed Raman spectrum

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