Literature DB >> 27075634

Infrared micro-spectroscopy of human tissue: principles and future promises.

Max Diem1, Ayşegül Ergin2, Stan Remiszewski2, Xinying Mu3, Ali Akalin4, Dan Raz5.   

Abstract

This article summarizes the methods employed, and the progress achieved over the past two decades in applying vibrational (Raman and IR) micro-spectroscopy to problems of medical diagnostics and cellular biology. During this time, several research groups have verified the enormous information contained in vibrational spectra; in fact, information on protein, lipid and metabolic composition of cells and tissues can be deduced by decoding the observed vibrational spectra. This decoding process is aided by the availability of computer workstations and advanced algorithms for data analysis. Furthermore, commercial instrumentation for the fast collection of both Raman and infrared micro-spectral data has enabled the collection of images of cells and tissues based solely on vibrational spectroscopic data. The progress in the field has been manifested by a steady increase in the number and quality of publications submitted by established and new research groups in vibrational spectroscopy in the biological and biomedical arenas.

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Year:  2016        PMID: 27075634     DOI: 10.1039/c6fd00023a

Source DB:  PubMed          Journal:  Faraday Discuss        ISSN: 1359-6640            Impact factor:   4.008


  5 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.  Molecular profiling of the intestinal mucosa and immune cells of the colon by multi-parametric histological techniques.

Authors:  Łukasz Zadka; Karolina Chrabaszcz; Igor Buzalewicz; Ewelina Wiercigroch; Natalia Glatzel-Plucińska; Łukasz Szleszkowski; Agnieszka Gomułkiewicz; Aleksandra Piotrowska; Krzysztof Kurnol; Piotr Dzięgiel; Tomasz Jurek; Kamilla Malek
Journal:  Sci Rep       Date:  2021-05-28       Impact factor: 4.379

3.  Colon Cancer Grading Using Infrared Spectroscopic Imaging-Based Deep Learning.

Authors:  Saumya Tiwari; Kianoush Falahkheirkhah; Georgina Cheng; Rohit Bhargava
Journal:  Appl Spectrosc       Date:  2022-03-25       Impact factor: 3.588

4.  Resolving Interobserver Discrepancies in Lung Cancer Diagnoses by Spectral Histopathology.

Authors:  Ali Akalin; Ayşegül Ergin; Stanley Remiszewski; Xinying Mu; Dan Raz; Max Diem
Journal:  Arch Pathol Lab Med       Date:  2018-08-24       Impact factor: 5.534

5.  Spectroscopic imaging of biomaterials and biological systems with FTIR microscopy or with quantum cascade lasers.

Authors:  James A Kimber; Sergei G Kazarian
Journal:  Anal Bioanal Chem       Date:  2017-08-29       Impact factor: 4.142

  5 in total

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