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Chapter 15
FTIR Imaging of Tissues: Techniques
and Methods of Analysis
Kamilla Malek, Bayden R. Wood and Keith R. Bambery
K. malek ()
Faculty of Chemistry and Jagiellonian Centre for Experimental therapeutics,
Jagiellonian university, Ingardena 3,
30-060, Krakow, Poland
e-mail: malek@chemia.uj.edu.pl
B. R. Wood
Centre for Biospectroscopy and School of Chemistry, monash university,
3800, victoria, Australia
K. R. Bambery
Australian Synchrotron, 800 Blackburn Road,
Clayton, vIC, 3168, Australia
Abstract In this chapter, we describe biomedical applications of infrared microscopic imaging applied to human tissue sections. the central focus is human
diseases including cervical cancer, neurodegenerative pathologies, and dysfunctions of cardiac and liver tissues. In addition, we briefly describe the fundamentals of
FtIR imaging instrumentation along with spectral pre-processing and hyperspectral
image reconstruction. the chapter concludes with a summary of what is required to
take FtIR imaging technology into the clinical environment.
Keywords FTIR imaging • Data processing • Cervical cancer • Heart disease •
Neurodegenerative pathologies • Liver diseases
15.1 Introduction
Fourier transform infrared (FtIR) spectroscopic imaging is set to become a true
independent modality for the diagnosis of disease. the spectroscopic advantage lies
in the fact that the chemical change must precede or accompany any morphological
change that is symptomatic of disease [1]. the ability to spectroscopically analyse
and spatially locate macromolecules within single cells and tissues offers a platform
to investigate, diagnose and monitor the treatment of neoplasia and other diseases.
In terms of diseases cancer grading by light microscopy is notoriously subjective
and highly dependent on the training and experience of the pathologist examining
the tissues, as well as the sample quality and quantity. many neoplasias require anm. Baranska (ed.), Optical Spectroscopy and Computational Methods in Biology and
Medicine, Challenges and Advances in Computational Chemistry and Physics 14,
doI 10.1007/978-94-007-7832-0_15, © Springer Science+Business media dordrecht 2014
Chapter 15
FTIR Imaging of Tissues: Techniques
and Methods of Analysis
Kamilla Malek, Bayden R. Wood and Keith R. Bambery
K. malek ()
Faculty of Chemistry and Jagiellonian Centre for Experimental therapeutics,
Jagiellonian university, Ingardena 3,
30-060, Krakow, Poland
e-mail: malek@chemia.uj.edu.pl
B. R. Wood
Centre for Biospectroscopy and School of Chemistry, monash university,
3800, victoria, Australia
K. R. Bambery
Australian Synchrotron, 800 Blackburn Road,
Clayton, vIC, 3168, Australia
Abstract In this chapter, we describe biomedical applications of infrared microscopic imaging applied to human tissue sections. the central focus is human
diseases including cervical cancer, neurodegenerative pathologies, and dysfunctions of cardiac and liver tissues. In addition, we briefly describe the fundamentals of
FtIR imaging instrumentation along with spectral pre-processing and hyperspectral
image reconstruction. the chapter concludes with a summary of what is required to
take FtIR imaging technology into the clinical environment.
Keywords FTIR imaging • Data processing • Cervical cancer • Heart disease •
Neurodegenerative pathologies • Liver diseases
15.1 Introduction
Fourier transform infrared (FtIR) spectroscopic imaging is set to become a true
independent modality for the diagnosis of disease. the spectroscopic advantage lies
in the fact that the chemical change must precede or accompany any morphological
change that is symptomatic of disease [1]. the ability to spectroscopically analyse
and spatially locate macromolecules within single cells and tissues offers a platform
to investigate, diagnose and monitor the treatment of neoplasia and other diseases.
In terms of diseases cancer grading by light microscopy is notoriously subjective
and highly dependent on the training and experience of the pathologist examining
the tissues, as well as the sample quality and quantity. many neoplasias require anm. Baranska (ed.), Optical Spectroscopy and Computational Methods in Biology and
Medicine, Challenges and Advances in Computational Chemistry and Physics 14,
doI 10.1007/978-94-007-7832-0_15, © Springer Science+Business media dordrecht 2014