Literature DB >> 20392063

Theory of midinfrared absorption microspectroscopy: I. Homogeneous samples.

Brynmor J Davis1, P Scott Carney, Rohit Bhargava.   

Abstract

Midinfrared (IR) microspectroscopy is widely employed for spatially localized spectral analyses. A comprehensive theoretical model for the technique, however, has not been previously proposed. In this paper, rigorous theory is presented for IR absorption microspectroscopy by using Maxwell's equations to model beam propagation. Focusing effects, material dispersion, and the geometry of the sample are accounted to predict spectral response for homogeneous samples. Predictions are validated experimentally using Fourier transform IR (FT-IR) microspectroscopic examination of a photoresist. The results emphasize that meaningful interpretation of IR microspectroscopic data must involve an understanding of the coupled optical effects associated with the sample, substrate properties, and microscopy configuration. Simulations provide guidance for developing experimental methods and future instrument design by quantifying distortions in the recorded data. Distortions are especially severe for transflection mode and for samples mounted on certain substrates. Last, the model generalizes to rigorously consider the effects of focusing. While spectral analyses range from examining gross spectral features to assessing subtle features using advanced chemometrics, the limitations imposed by these effects in the data acquisition on the information available are less clear. The distorting effects are shown to be larger than noise levels seen in modern spectrometers. Hence, the model provides a framework to quantify spectral distortions that may limit the accuracy of information or present confounding effects in microspectroscopy.

Mesh:

Year:  2010        PMID: 20392063     DOI: 10.1021/ac902067p

Source DB:  PubMed          Journal:  Anal Chem        ISSN: 0003-2700            Impact factor:   6.986


  30 in total

1.  Attenuated total reflectance Fourier-transform infrared spectroscopic imaging for breast histopathology.

Authors:  Michael J Walsh; Andre Kajdacsy-Balla; Sarah E Holton; Rohit Bhargava
Journal:  Vib Spectrosc       Date:  2012-05-01       Impact factor: 2.507

2.  Sculpting narrowband Fano resonances inherent in the large-area mid-infrared photonic crystal microresonators for spectroscopic imaging.

Authors:  Jui-Nung Liu; Matthew V Schulmerich; Rohit Bhargava; Brian T Cunningham
Journal:  Opt Express       Date:  2014-07-28       Impact factor: 3.894

3.  Ultrafast 2D IR microscopy.

Authors:  Carlos R Baiz; Denise Schach; Andrei Tokmakoff
Journal:  Opt Express       Date:  2014-07-28       Impact factor: 3.894

4.  Rapid computation of the amplitude and phase of tightly focused optical fields distorted by scattering particles.

Authors:  Janaka C Ranasinghesagara; Carole K Hayakawa; Mitchell A Davis; Andrew K Dunn; Eric O Potma; Vasan Venugopalan
Journal:  J Opt Soc Am A Opt Image Sci Vis       Date:  2014-07-01       Impact factor: 2.129

5.  Retinal oxidative stress at the onset of diabetes determined by synchrotron FTIR widefield imaging: towards diabetes pathogenesis.

Authors:  Ebrahim Aboualizadeh; Mahsa Ranji; Christine M Sorenson; Reyhaneh Sepehr; Nader Sheibani; Carol J Hirschmugl
Journal:  Analyst       Date:  2017-03-27       Impact factor: 4.616

Review 6.  Infrared spectroscopic imaging: the next generation.

Authors:  Rohit Bhargava
Journal:  Appl Spectrosc       Date:  2012-10       Impact factor: 2.388

7.  On the importance of image formation optics in the design of infrared spectroscopic imaging systems.

Authors:  David Mayerich; Thomas van Dijk; Michael J Walsh; Matthew V Schulmerich; P Scott Carney; Rohit Bhargava
Journal:  Analyst       Date:  2014-08-21       Impact factor: 4.616

8.  Multicolor Discrete Frequency Infrared Spectroscopic Imaging.

Authors:  Kevin Yeh; Dongkwan Lee; Rohit Bhargava
Journal:  Anal Chem       Date:  2019-01-16       Impact factor: 6.986

9.  A comparison of mid-infrared spectral regions on accuracy of tissue classification.

Authors:  Shachi Mittal; Rohit Bhargava
Journal:  Analyst       Date:  2019-04-08       Impact factor: 4.616

10.  High-definition infrared spectroscopic imaging.

Authors:  Rohith K Reddy; Michael J Walsh; Matthew V Schulmerich; P Scott Carney; Rohit Bhargava
Journal:  Appl Spectrosc       Date:  2013-01       Impact factor: 2.388

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