Literature DB >> 23643044

Recovery of absorption spectra from Fourier transform infrared (FT-IR) microspectroscopic measurements of intact spheres.

Thomas van Dijk1, David Mayerich, P Scott Carney, Rohit Bhargava.   

Abstract

An infrared spectrum recorded from a microscopic sample depends on spectral properties of the constituent material as well as on morphology. Many samples or domains within heterogeneous materials can be idealized as spheres, in which both scattering and absorption from the three-dimensional shape affect the recorded spectrum. Spectra recorded from such objects may be altered to such an extent that they bear little resemblance to spectra recorded from the bulk material; there are no methods, however, to reconcile the two from first principles. Here we provide the mathematical description of the optical physics underlying light-spherical sample interaction within an instrument. We use the developed analytical expressions to predict recorded data from spheres using Fourier transform infrared (FT-IR) spectroscopic imaging. Recorded spectra are shown to depend strongly on the size of the sphere as well as the optical arrangement of the instrument. Next, we present theory and experiments demonstrating the recovery of the complex refractive index of the material using data recorded from a sphere. The effects of the sample morphology on the measured spectra can be removed, and using the imaginary part of the index, the shape-independent IR absorption spectrum of the material is recovered.

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Year:  2013        PMID: 23643044     DOI: 10.1366/12-06847

Source DB:  PubMed          Journal:  Appl Spectrosc        ISSN: 0003-7028            Impact factor:   2.388


  13 in total

Review 1.  Infrared Spectroscopic Imaging Advances as an Analytical Technology for Biomedical Sciences.

Authors:  Tomasz P Wrobel; Rohit Bhargava
Journal:  Anal Chem       Date:  2018-02-06       Impact factor: 6.986

2.  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

3.  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

4.  Development of a practical spatial-spectral analysis protocol for breast histopathology using Fourier transform infrared spectroscopic imaging.

Authors:  F Nell Pounder; Rohith K Reddy; Rohit Bhargava
Journal:  Faraday Discuss       Date:  2016-06-23       Impact factor: 4.008

Review 5.  Emerging Themes in Image Informatics and Molecular Analysis for Digital Pathology.

Authors:  Rohit Bhargava; Anant Madabhushi
Journal:  Annu Rev Biomed Eng       Date:  2016-07-11       Impact factor: 9.590

6.  All-digital histopathology by infrared-optical hybrid microscopy.

Authors:  Martin Schnell; Shachi Mittal; Kianoush Falahkheirkhah; Anirudh Mittal; Kevin Yeh; Seth Kenkel; Andre Kajdacsy-Balla; P Scott Carney; Rohit Bhargava
Journal:  Proc Natl Acad Sci U S A       Date:  2020-02-03       Impact factor: 11.205

7.  The effect of deformation of absorbing scatterers on Mie-type signatures in infrared microspectroscopy.

Authors:  Maren Anna Brandsrud; Reinhold Blümel; Johanne Heitmann Solheim; Achim Kohler
Journal:  Sci Rep       Date:  2021-02-25       Impact factor: 4.379

8.  Real-time interactive data mining for chemical imaging information: application to automated histopathology.

Authors:  David Mayerich; Michael Walsh; Matthew Schulmerich; Rohit Bhargava
Journal:  BMC Bioinformatics       Date:  2013-05-08       Impact factor: 3.169

Review 9.  Extracting knowledge from chemical imaging data using computational algorithms for digital cancer diagnosis.

Authors:  Saumya Tiwari; Rohit Bhargava
Journal:  Yale J Biol Med       Date:  2015-06-01

10.  Using Fourier transform IR spectroscopy to analyze biological materials.

Authors:  Matthew J Baker; Júlio Trevisan; Paul Bassan; Rohit Bhargava; Holly J Butler; Konrad M Dorling; Peter R Fielden; Simon W Fogarty; Nigel J Fullwood; Kelly A Heys; Caryn Hughes; Peter Lasch; Pierre L Martin-Hirsch; Blessing Obinaju; Ganesh D Sockalingum; Josep Sulé-Suso; Rebecca J Strong; Michael J Walsh; Bayden R Wood; Peter Gardner; Francis L Martin
Journal:  Nat Protoc       Date:  2014-07-03       Impact factor: 13.491

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