Theory of Infrared Microspectroscopy for Intact Fibers

Davis, Brynmor J.; Carney, P. Scott; Bhargava, Rohit

doi:10.1021/ac102239b

Cited by 38 publications

(43 citation statements)

References 29 publications

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“…The finer IR image will, in turn, reduce the segmentation error. We could lessen technical variation by performing repeated measurements on the same TMAs or incorporating numerical methods 43 to correct for the data. 44,45,46 In addition, we computed F -test statistic for subcellular component effect.…”

Section: Resultsmentioning

confidence: 99%

Analysis of Variance in Spectroscopic Imaging Data from Human Tissues

et al. 2011

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The analysis of cell types and disease using Fourier transform infrared (FT-IR) spectroscopic imaging is promising. The approach lacks an appreciation of the limits of performance for the technology, however, which limits both researcher efforts in improving the approach and acceptance by practitioners. One factor limiting performance is the variance in data arising from biological diversity, measurement noise or from another source. Here we identify the sources of variation by first employing a high throughout sampling platform of tissue microarrays (TMAs) to record a sufficiently large and diverse set data. Next, a comprehensive analysis of variance (ANOVA) model is employed to analyze the data. Estimating the portions of explained variation, we quantify the primary sources of variation, find the most discriminating spectral metrics, and recognize the aspects of the technology to improve. The study provides a framework for the development of protocols for clinical translation and provides guidelines to design statistically valid studies in the spectroscopic analysis of tissue.

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Section: Resultsmentioning

confidence: 99%

Analysis of Variance in Spectroscopic Imaging Data from Human Tissues

et al. 2011

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“…Light scattering and effects due to heterogeneity within samples not only lead to loss of spatial information but may also cause band shifts. The latter effect due to resonant Mie scattering is typically observed on very small objects and sample margins (Bassan et al 2009;Davis et al 2010Davis et al , 2011.…”

Section: Current and Future Trends And Challengesmentioning

confidence: 96%

Microspectroscopy as applied to the study of wood molecular structure

Fackler

Thygesen

2012

Wood Sci Technol

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Microspectroscopy gives access to spatially resolved information on the molecular structure and chemical composition of a material. For a highly heterogeneous and anisotropic material like wood, such information is essential when assessing structure/property relationships such as moisture-induced dimensional changes, decay resistance or mechanical properties. It is, however, important to choose the right technique for the purpose at hand and to apply it in a suitable way if any new insights are to be gained. This review presents and compares three different microspectroscopic techniques: infrared, Raman and ultraviolet. Issues such as sample preparation, spatial resolution, data acquisition and extraction of knowledge from the spectral data are discussed. Additionally, an overview of applications in wood science is given for each method. Lastly, current trends and challenges within microspectroscopy of wood are discussed.

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“…An algorithm that enables this recovery from cylindrical objects that have physical dimensions of the order of the wavelength of light has been formulated. 167 Spectra clearly corresponding to the bulk spectra of materials could be recovered and the effect of optical phenomena could be removed. A similar effort for spheres 168 is reported and demonstrates a similar success in recovering molecular information.…”

Section: Information Retrievalmentioning

confidence: 99%

Infrared Spectroscopic Imaging: The Next Generation

2012

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Infrared (IR) spectroscopic imaging seemingly matured as a technology in the mid-2000s, with commercially successful instrumentation and reports in numerous applications. Recent developments, however, have transformed our understanding of the recorded data, provided capability for new instrumentation, and greatly enhanced the ability to extract more useful information in less time. These developments are summarized here in three broad areas— data recording, interpretation of recorded data, and information extraction—and their critical review is employed to project emerging trends. Overall, the convergence of selected components from hardware, theory, algorithms, and applications is one trend. Instead of similar, general-purpose instrumentation, another trend is likely to be diverse and application-targeted designs of instrumentation driven by emerging component technologies. The recent renaissance in both fundamental science and instrumentation will likely spur investigations at the confluence of conventional spectroscopic analyses and optical physics for improved data interpretation. While chemometrics has dominated data processing, a trend will likely lie in the development of signal processing algorithms to optimally extract spectral and spatial information prior to conventional chemometric analyses. Finally, the sum of these recent advances is likely to provide unprecedented capability in measurement and scientific insight, which will present new opportunities for the applied spectroscopist.

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Theory of Infrared Microspectroscopy for Intact Fibers

Cited by 38 publications

References 29 publications

Analysis of Variance in Spectroscopic Imaging Data from Human Tissues

Analysis of Variance in Spectroscopic Imaging Data from Human Tissues

Microspectroscopy as applied to the study of wood molecular structure

Infrared Spectroscopic Imaging: The Next Generation

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