title: High-definition Fourier Transform Infrared (FT-IR) spectroscopic imaging of human tissue sections towards improving pathology.
abstract: High-definition Fourier Transform Infrared (FT-IR) spectroscopic imaging is an emerging approach to obtain detailed images that have associated biochemical information. FT-IR imaging of tissue is based on the principle that different regions of the mid-infrared are absorbed by different chemical bonds (e.g., C=O, C-H, N-H) within cells or tissue that can then be related to the presence and composition of biomolecules (e.g., lipids, DNA, glycogen, protein, collagen). In an FT-IR image, every pixel within the image comprises an entire Infrared (IR) spectrum that can give information on the biochemical status of the cells that can then be exploited for cell-type or disease-type classification. In this paper, we show: how to obtain IR images from human tissues using an FT-IR system, how to modify existing instrumentation to allow for high-definition imaging capabilities, and how to visualize FT-IR images. We then present some applications of FT-IR for pathology using the liver and kidney as examples. FT-IR imaging holds exciting applications in providing a novel route to obtain biochemical information from cells and tissue in an entirely label-free non-perturbing route towards giving new insight into biomolecular changes as part of disease processes. Additionally, this biochemical information can potentially allow for objective and automated analysis of certain aspects of disease diagnosis.
authors: Department of Bioengineering, University of Illinois at Chicago.
authors: Hari
authors: H
authors: Sreedhar
authors: Department of Bioengineering, University of Illinois at Chicago.
authors: Vishal K
authors: VK
authors: Varma
authors: Department of Pathology, University of Illinois at Chicago.
authors: Peter L
authors: PL
authors: Nguyen
authors: Department of Biological Sciences, University of Illinois at Chicago; Department of Chemistry, University of Illinois at Chicago.
authors: Bennett
authors: B
authors: Davidson
authors: Department of Nephrology, University of Illinois at Chicago.
authors: Sanjeev
authors: S
authors: Akkina
authors: Department of Pathology, University of Illinois at Chicago.
authors: Grace
authors: G
authors: Guzman
authors: Department of Pathology, University of Illinois at Chicago.
authors: Suman
authors: S
authors: Setty
authors: Department of Pathology, University of Illinois at Chicago.
authors: Andre
authors: A
authors: Kajdacsy-Balla
authors: Department of Pathology, University of Illinois at Chicago; walshm@uic.edu.
authors: Michael J
authors: MJ
authors: Walsh
mesh_terms: D003952:Diagnostic Imaging / Q000379:methods; D005583:Fourier Analysis; D006801:Humans; D007668:Kidney / Q000473:pathology*; D008099:Liver / Q000473:pathology*; D010336:Pathology / Q000379:methods*; D017550:Spectroscopy, Fourier Transform Infrared / Q000379:methods*
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