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.
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References
Mantsch HH, Jackson M (1995) Molecular spectroscopy in biodiagnostics (from Hippocrates to Herschel and beyond). J Mol Struct 347:187–206
Husseinzadeh N (2011) Status of tumor markers in epithelial ovarian cancer, has there been any progress? A review. Gynecol Oncol 120:152–157
Breen M (2010) Update on genomics in veterinary oncology. Top Companion Anim Med 24:113–121
Gould Rothberg BE, Bracken MB, Rimm DL (2009) Tissue biomarkers for prognosis in cutaneous melanoma: a systematic review and meta-analysis. J Natl Cancer Inst 101:452–474
Staudt LM, Dave S (2005) The biology of human lymphoid malignancies revealed by gene expression profiling. Adv Immunol 87:163–208
Moore JH, Asselbergs FW, Williams SM (2010) Bioinformatics challenges for genome-wide association studies. Bioinformatics 24:445–455
Tobin MJ, Puskar L, Barber RL et al (2010) FTIR spectroscopy of single live cells in aqueous media by synchrotron IR microscopy using microfabricated sample holders. Vib Spectrosc 53:34–38
Ellis DI, Dunn WB, Griffin JL et al (2007) Metabolic fingerprinting as a diagnostic tool. Pharmacogenomics 8:1243–1266
Lewis EN, Treado PJ, Reeder RC et al (1995) Fourier transform spectroscopic imaging using an infrared focal-plane array detector. Anal Chem 67:3377–3381
Bassan P, Lee J, Sachdeva A et al (2013) The inherent problem of transflection-mode infrared spectroscopic microscopy and the ramifications for biomedical single point and imaging applications. Analyst 138:144–157
Whelan DR, Bambery KR, Heraud P et al (2011) Monitoring the reversible B to A-like transition of DNA in eukaryotic cells using Fourier transform infrared spectroscopy. Nucleic Acids Res 39:5439–5448
Whelan DR, Bambery KR, Puskar L et al (2012) Quantification of DNA in simple eukaryotic cells using Fourier transform infrared spectroscopy. J Biophotonics doi:10.1002/jbio.201200112
Liu KZ, Tsang KS, Li CK et al (2003) Infrared spectroscopic identification of β-thalassemia. Clin Chem 49:1125–1132
Ami D, Neri T, Natalello A et al (2008) Embryonic stem cell differentiation studied by FTIR spectroscopy. Biochim Biophys Acta 1783:98–106
Choo LP, Wetzel DL, Halliday WC et al (1996) In situ characterization of β-amyloid in Azheimer’s diseased tissue by synchrotron Fourier transform infrared microspectroscopy. Biophys J 71:1672–1679
Palombo F, Shen H, Benguigui LES et al (2009) Micro ATR-FTIR spectroscopic imaging of atherosclerosis: an investigation of the contribution of inducible nitric oxide synthase to lesion composition in ApoE-null mice. Analyst 134:1107–1118
Bambery KR, Wood BR, McNaughton D (2012) Resonant Mie scattering (Rimes) correction applied to FTIR images of biological tissue samples. Analyst 137:126–132
Noguchi T, Inoue Y, Tang XS (1997) Structural coupling between the oxygen-evolving Mn cluster and a tyrosine residue in photosystem II as revealed by Fourier transform infrared spectroscopy. Biochemistry 36:14705–14711
Maziak DE, Do MT, Shamji FM et al (2007) Fourier-transform infrared spectroscopic study of characteristic molecular structure in cancer cells of esophagus: an exploratory study. Cancer Detect Prev 31:244–253
Bogomolny E, Argov S, Mordechai S, Huleihel M (2008) Monitoring of viral cancer progression using FTIR microscopy: a comparative study of intact cells and tissues, Biochim Biophys Acta 1780:1038–1046
Ooi GJ, Fox J, Siu K et al (2008) Fourier transform infrared imaging and small angle x-ray scattering as a combined biomolecular approach to diagnosis of breast cancer. Med Phys 35:2151–2161
Chen L, Holman HYN, Hao Z et al (2012) Synchrotron infrared measurements of protein phosphorylation in living single PC12 cells during neuronal differentiation. Anal Chem 84:4118–4125
Benedeti E, Bramanti E, Papineschi F et al (1997) Determination of the relative amount of nucleic acids and proteins in leukemic and normal lymphocytes by means of Fourier transform infrared microspectroscopy. Appl Spectrosc 51:792–797
Salman A, Ramesh J, Erukhimovitch V et al (2003) FTIR microspectroscopy of malignant fibroblasts transformed by mouse sarcoma virus. J Biochem Biophys Methods 55:141–153
Mohlenhoff B, Romeo MJ, Wood BR et al (2005) Mie-type scattering and non-Beer-Lambert absorption behavior of human cells in infrared microspectroscopy. Biophys J 88:3635–3640
Wood BR, Chernenko T, Matthäus C et al (2008) Shedding new light on the molecular architecture of oocytes using a combination of synchrotron Fourier transform-infrared and Raman spectroscopic imaging. Anal Chem 80:9065–9072
Lasch P, Boese M, Pacifico A et al (2002) FT–IR spectroscopic investigations of single cells on the subcellular level. Vib Spectrosc 28:147–157
Ozek NS, Tuna S, Erson-Bensan AE et al (2010) Characterization of microRNA-125b expression in MCF7 breast cancer cells by ATR-FTIR spectroscopy. Analyst 135:3094–3102
Wrobel TP, Mateuszuk L, Chlopicki S et al (2011) Imaging of lipids in atherosclerotic lesion in aorta from ApoE/LDLR-/- mice by FT-IR spectroscopy and Hierarchical Cluster Analysis. Analyst 136:5247–5255
Chiriboga L, Xie P, Lee H et al (1998) Infrared spectroscopy of human tissue. I. Differentiation and maturation of epithelium cells in the human cervix. Biospectrosc 4:47–53
Wood BR, Chiriboga L, Yee H et al (2004) Fourier transform infrared (FTIR) spectral mapping of the cervical transformation zone and dysplastic squamous epithelium. Gynecol Oncol 93:59–68
Wood BR, Quinn MA, Tait B et al (1998) FTIR microspectroscopic study of cell types and potential confounding variable in screening for cervical malignancies. Biospectroscopy 4:75–91
Chiriboga L, Xie P, Zhang W et al (1997) Infrared spectroscopy of human tissue. III. Spectral differences between squamous and columnar tissue and cells from the human cervix. Biospectroscopy 3:253–257
Wood BR, Tait B, McNaugthon D (2000) Fourier Transform Infrared Spectroscopy as a Method for Monitoring the Molecular Dynamics of Lymphocyte Activation. Appl Spectrosc 54:353–359
Andrus PGL, Strickland RD (1998) Cancer grading by Fourier transform infrared spectroscopy. Biospectroscopy 4:37–46
Mordechai S, Sahu RK, Hammody Z et al (2004) Possible common biomarkers from FTIR microspectroscopy of cervical cancer and melanoma. J Microsc 215:86–91
Taillandier E, Liquier J (1992) Infrared spectroscopy of DNA. Methods Enzymol 211:307–335
Mohlenhoff B, Romeo M, Diem M et al (2005) Mie-type scattering and non-Beer-Lambert absorption behaviour of human cells in infrared micro-spectroscopy. Biophys J 88:3635–3640
Shimanouchi T, Tsuboi M, Kyogoku Y (1964) The structure and properties of biomolecules and biological systems. In: Duchesne J (ed) Advances in chemical physics, vol VII. Interscience, New York
Carr GL (2001) Resolution limits for infrared microspectroscopy explored with synchrotron radiation. Rev Sci Instrum 72:1613–1619
Sommer AJ, Katon JE (1991) Diffraction-induced stray light in infrared microspectroscopy and its effect on spatial resolution. Appl Spectrosc 45:1633–1640
Lasch P, Naumann D (2006) Spatial resolution in infrared microspectroscopic imaging of tissues. Biochim Biophys Acta 1758:814–929
Kazarian SG, Chan KLA (2010) Micro- and macro-attenuated total reflection Fourier transform infrared spectroscopic imaging. Appl Spectrosc 64:135A–152A
Filik J, Frogley MD, Pijanka JK et al (2012) Electric field standing wave artifacts in FTIR micro-spectroscopy of biological materials. Analyst 137:853–861
Holton SE, Walsh MJ, Bhargava R (2011) Subcellular localization of early biochemical transformations in cancer-activated fibroblasts using infrared spectroscopic imaging. Analyst 136:2953–2958
Amrania H, McCrow AP, Matthews MR et al (2011) Ultrafast infrared chemical imaging of live cells. Chem Sci 2:107–111
Kuimova MK, Chan KLA, Kazarian SG (2009) Chemical imaging of live cancer cells in the natural aqueous environment. Appl Spectrosc 63:164–171
Colley CS, Kazarian SG, Weinberg PD et al (2004) Spectroscopic imaging of arteries and atherosclerotic plaques. Biopolymers 74:328–335
Rogalski A (2005) HgCdTe infrared detector material: history, status and outlook. Rep Prog Phys 68:2267–2336
Norton P (2002) HgCdTe infrared detectors. Opto-Electron Rev 10:159–174
Miller LM, Smith RJ (2005) Synchrotrons versus globars, point-detectors versus focal plane arrays: selecting the best source and detector for specific infrared microspectroscopy and imaging applications. Vib Spectrosc 38:237–240
Diem M, Romeo M, Matthäus C et al (2004) Comparison of Fourier transform infrared (FTIR) spectra of individual cells acquired using synchrotron and conventional sources. Infrared Phys Technol 45:331–338
Bhargava R, Wall BG, Koenig JL (2000) Comparison of the FTIR mapping and imaging techniques applied to polymeric systems. Appl Spectrosc 54:470–479
Reffner JA, Martoglio PA, Williams GP (1995) Fourier transform infrared microscopical analysis with synchrotron radiation: the microscope optics and system performance (invited). Rev Sci Instrum 66:1298–1302
Miller LM, Dumas P (2006) Chemical imaging of biological tissue with synchrotron infrared light. Biochim Biophys Acta 1758:846–857
Tobin MJ, Chesters MA, Chalmers JM et al (2004) Infrared microscopy of epithelial cancer cells in whole tissues and in tissue culture, using synchrotron radiation. Faraday Discuss 126:27–39
Nasse MJ, Walsh MJ, Mattson EC et al (2011) High-resolution Fourier transform infrared chemical imaging with multiple synchrotron beams. Nat Methods 8:413–416
Dumas P, Jasmin N, Teillaud JL et al (2004) Imaging capabilities of synchrotron infrared microspectroscopy. Faraday Discuss 126:289–302
Carr GL, Chubar O, Dumas P (2005) Multichanel detection with a synchrotron light source: design and potential. In: Bhargava R, Levin I (eds) Spectrochemical analysis using multichanel detectors. Analytical chemistry series, chap. 3. Blackwell, Oxford, pp 56–84
Moss D, Gasharova B, Mathis YL (2006) Practical tests of a focal plane array detector microscope at the ANKA-IR beamline. Infrared Phys Technol 49:53–56
Petibois C, Cestelli-Guidi M, Piccinini M et al (2010) Synchrotron radiation FTIR imaging in minutes: a first step towards real-time cell imaging. Anal Bioanal Chem 397:2123–2129
Hirschmugl CJ, Gough KM (2012) Fourier transform infrared spectrochemical imaging: review of design and applications with a focal plane array and multiple beam synchrotron radiation source. Appl Spectrosc 66:475–491
Afseth NK, Kohler A (2012) Extended multiplicative signal correction in vibrational spectroscopy, a tutorial. Chemometr Intel Lab Systems 117:92–99
Lan T, Fang Y, Xiong W et al (2007) Automatic baseline correction of infrared spectra. Chin Opt Lett 5:613–616
Severcan F, Harris PI (2012) Vibrational spectroscopy in diagnosis and screening. In: advances in biomedical spectrosocpy, Vol. 6. IOS Press
Butler WL, Hopkins DW (1970) An analysis of fourth derivative spectra. Photochem Photobiol 12:451–456
Susi H, Byler DM (1986) Resolution-enhanced Fourier transform infrared spectroscopy of enzymes. Methods Enzymol 130:290–311
Savitsky A, Golay MJE (1964) Smoothing and Differentiation of Data by Simplified Least Squares Procedures. Anal Chem 36:1627–1639
van de Hulst HC (1981) Light scattering by small particles. Dover, New York
Martens H, Naes T (1989) Multivariate Calibration. Wiley, Chichester
Martens H, Nielsen JP, Engelsen SB (2003) Light scattering and light absorbance separated by extended multiplicative signal correction. Application to near-infrared transmission analysis of powder mixtures. Anal Chem 75:394–404
Chen ZP, Morris J, Martin E (2006) Extracting chemical information from spectral data with multiplicative light scattering effects by optical path-length estimation and correction. Anal Chem 78:7674–7681
Kohler A, Sulé-Suso J, Sockalingum GD et al (2008) Estimating and correcting Mie scattering in synchrotron-based micorscopic Fourier transform infrared spectra by extended multiplicative signal correction. Appl Spectrosc 62:259–266
Martens H, Stark E (1991) Extended multiplicative signal correction and spectral interference subtraction: new preprocessing methods for near infrared spectroscopy. J Pharm Biomed Anal 9:625–635
Kohler A, Kirschner C, Oust A et al (2005) Extended multiplicative signal correction as a tool for separation and characterization of physical and chemical information in Fourier transform infrared microscopy images of cryo-sections of beef loin. Appl Spectrosc 59:707–716
Bassan P, Byrne HJ, Bonnier F et al (2009) Resonant Mie scattering in infrared spectroscopy of biological materials-understanding the ‘dispersion artefact’. Analyst 134:1586–1593
Bassan P, Kohler A, Martens H et al (2010) Resonant Mie scattering (Rimes) correction of infrared spectra from highly scattering biological samples. Analyst 135:268–277
Bassan P, Kohler A, Martens H et al (2010) Rimes-EMSC correction for infrared spectra of biological cells: extension using full Mie theory and GPU computing. J Biophoton 3:609–620
Bassan P, Byrne HJ, Lee J et al (2009) Reflection contributions to the dispersion artefact in FTIR spectra of single biological cells. Analyst 134:1171–1175
Bassan P, Gardner P (2011) Biomedical applications of synchrotron infrared microspectroscopy: a practical approach, Moss D (ed). Royal Society of Chemistry, Cambridge, pp. 260–276
Bassan P, Sachdeva A, Kohler A et al (2012) FTIR microscopy of biological cells and tissue: data analysis using resonant Mie scattering (Rimes) EMSC algorithm. Analyst 137:1370–1377
Miljkovic M, Bird B, Diem M (2012) Line shape distortion effects in infrared spectroscopy. Analyst 137:3954–3964
Lasch P, Naumann D (1998) FT-IR microspectroscopic imaging of human carcinoma thin sections based on pattern recognition techniques. Cell Mol Biol 44:189–202
Lasch P, Haensch W, Lewis EN et al (2002) Characteristion of colorectal adenocarcinoma sections by spatially resolved FT-IR microspectroscopy. App Spectrosc 56:1–9
Fabian H, Lasch P, Boese M et al (2003) Infrared microspectroscopic imaging of benign breast tumour tissue sections. J Mol Struct 661–662:411–417
Ward JH Jr (1963) Hierarchical grouping to optimize an objective function. J Am Stat Assoc 58:236–244
Vapnik VN, Chervonenkis AYA (1971) On the uniform convergence of relative frequencies of events to their probabilities. Theor Probab Appl 16:264–281
Hush DR, Horne BG (1993) Progress in supervised neural network. IEEE Signal Proc Mag 10:8–39
Walboomers JM, Jacobs MV, Manos MM et al (1999) Human papillomavirus is a necessary cause of invasive cervical cancer worldwide. J Pathol 189:12–19
Poljak M, Kocjan BJ (2010) Commercially available assays for multiplex detection of alpha human papillomaviruses. Expert Rev Anti-infe 8:1139–1162
Wong PTT, Wong RK, Caputo TA et al (1991) Infrared Spectroscopy of Exfoliated human cervical cells: evidence of extensive structural changes during carcinogenesis. Proc Natl Acad Sci U S A 88:10988–10992
Wood BR, Quinn MA, Burden FR et al (1996) An investigation into FTIR spectroscopy as a biodiagnostic tool for cervical cancer. Biospectroscopy 2:143–153
Mordechai S, Sahu RK, Hammody Z et al (2004) Possible common biomarkers from FTIR microspectroscopy of cervical cancer and melanoma. J Microsc 215:86–91
Chiriboga L, Xie P, Lee H et al (1998) Infrared spectroscopy of human tissue. I. Differentiation and maturation of epithelium cells in the human cervix. Biospectroscopy 4:47–53
Chiriboga L, Xie P, Lee H et al (1998) Infrared spectroscopy of human cells and tissues: IV. Detection of dysplastic and neoplastic changes in human cervical tissue via infrared microscopy. Cell Mol Biol 44:219–229
Chiriboga L, Xie P, Vigorita P et al (1998) Infrared spectroscopy of human tissue: II. A comparative study of spectra of biopsies of cervical squamous epithelium and of exfoliated cervical cells. Biospectroscopy 4:55–59
Wood BR, Quinn MA, Tait B et al (1998) FTIR microspectroscopic study of cell types and potential confounding variable in screening for cervical malignancies. Biospectroscopy 4:75–91
Diem M, Chiriboga L, Lasch P et al (2002) IR spectra and IR spectral maps of individual normal and cancerous cells. Biopolymers 67:349–353
Chang JI, Huang YB, Wu PC et al (2003) Characterization of human cervical precancerous tissue through the Fourier transform infrared microscopy with mapping method. Gynecol Oncol 91:577–583
Wood BR, Chiriboga L, Yee H et al (2004) Fourier transform infrared (FTIR) spectral mapping of the cervical transformation zone and dysplastic squamous epithelium. Gynecol Oncol 93:59–68
Steller W, Einenkel J, Horn LC et al (2006) Delimitation of squamous cell cervical carcinoma using infrared microspectroscopic imaging. Anal Bioanal Chem 384:145–154
Mark S, Sahu RK, Kantarovich K et al (2004) Fourier transform infrared microspectroscopy as a quantitative diagnostic tool for assignment of premalignancy grading in cervical neoplasia. J Biomed Opt 9:558–567
Podshyvalov A, Sahu RK, Mark S et al (2005) Distinction of cervical cancer biopsies by use of infrared microspectroscopy and probabilistic neural networks. Appl Opt 44:3725–3734
Bogomolny E, Argov S, Mordechai S et al (2008) Monitoring of viral cancer progression using FTIR microscopy: a comparative study of intact cells and tissues. Biochim Biophys Acta 1780:1038–1046
Kelly JG, Cheung KT, Martin C et al (2010) A spectral phenotype of oncogenic human papillomavirus-infected exfoliative cervical cytology distinguishes women based on age. Clin Chim Acta 411:1027–1033
Ostrowska KM, Garcia A, Meade AD et al (2011) Correlation of p16INK4A expression and HPV copy number with cellular FTIR spectroscopic signatures of cervical cancer cells. Analyst 136:1365–1373
Cohenford MA, Godwin TA, Cahn F et al (1997) Infrared spectroscopy of normal and abnormal cervical smears: evaluation by principal component analysis. Gynecol Oncol 66:59–65
El-Tawil SG, Adnan R, Muhamed ZN, Othman NH (2008) Comparative study between Pap smear cytology and FTIR spectroscopy: a new tool for screening for cervical cancer. Pathology 40:600–603
Petter CH, Heigl N, Rainer M et al (2009) Development and application of Fourier-transform infrared chemical imaging of tumor in human tissue. Curr Med Chem 16:318–326
Rigas B, LaGuardia K, Qiao L et al (2000) Infrared spectroscopic study of cervical smears in patients with HIV: implications for cervical carcinogenesis. J Lab Clin Med 135:26–31
Sindhuphak R, Issaravanich S, Udomprasertgul V, Srisookho P, Warakamin S, Sindhuphak S, Boonbundarlchai R, Dusitsin N (2003) A new approach for the detection of cervical cancer in Thai women. Gynecol Oncol 90:10–14
Walsh MJ, Singh MN, Pollock HM et al (2007) ATR microspectroscopy with multivariate analysis segregates grades of exfoliative cervical cytology. Biochem Biophys Res Commun 352:213–219
Schubert JM, Bird B, Papamarkakis K et al (2010) Spectral cytopathology of cervical samples: detecting cellular abnormalities in cytologically normal cells. Lab Invest 90:1068–1077
Krishna CM, Sockalingum GD, Vadhiraja BM et al (2007) Vibrational spectroscopy studies on formalin-fixed cervix tissues. Biopolymers 85:214–221
Steiner G, Shaw A, Choo-Smith LP et al (2003) distinguishing and grading human gliomas by IR spectroscopy. Biopolymers 72:464–471
Beleteis C, Steiner G, Sowa MG et al (2005) Classification of human gliomas by infrared imaging spectroscopy and chemometric image processing. Vib Spectrosc 38:143–149
Krafft C, Thümmler K, Sobottka SB et al (2006) Classification of malignant gliomas by infrared spectroscopy and linear discriminant analysis. Biopolymers 82:301–305
Amharref N, Beljebbar A, Dukic S et al (2006) Brain tissue characterization by infrared imaging in a rat glioma model. Biochim Biophys Acta 1758:892–899
Krafft C, Shapoval L, Sobottka SB et al (2006) Identification of primary tumors of brain metastases by SIMCA classification of IR spectroscopic images. Biochim Biophys Acta 1758:883–891
Bambery KR, Schültke E, Wood BR et al (2006) A Fourier transform infrared microspectroscopic imaging investigation into an animal model exhibiting glioblastoma multiforme. Biochim Biophys Acta 1758:900–907
Krafft C, Kirsch M, Beleites et al (2007) Methodology for fiber-optic Raman and FTIR imaging of metastates in mouse brain. Anal Bioanal Chem 389:1133–1142
Ali K, Lu Y, Christensen C et al (2008) Fourier transform infrared spectromicroscopy and hierarchical cluster analysis of human meningiomas. Int J Mol Med 21:297–301
Beljebbar A, Amharref N, Leveques A et al (2008) Modeling and quantifying biochemical changes in C6 tumor gliomas by Fourier transform infrared imaging. Anal Chem 80:8406–8415
Sobottka SB, Geiger KD, Salzer R et al (2009) Suitability of infrared spectroscopic imaging as an intraoperative tool in cerebral glioma surgery. Anal Bioanal Chem 393:187–195
Beljebbar A, Dukic S, Amharref N et al (2010) Screening of biochemical/histological changes associated to C6 glioma tumor development by FTIR/PCA imaging. Analyst 135:1090–1097
Choo LP, Wetzel DL, Halliday WC et al (1996) In situ characterization of β-amyloid in Alzheimer’s diseased tissue by synchrotron Fourier transform infrared microspectrometry. Biophys J 71:1672–1679
Miller LM, Wang Q, Telivala TP et al (2006) Synchrotron-based infrared and X-ray imaging shows focalized accumulation of Cu and Zn co-localized with β-amyloid deposits in Alzheimer’s disease. J Struct Biol 155:30–37
Leskovjan AC, Lanzirotti A, Miller LM (2009) Amyloid plaques in PSAPP mice bind less metal than plaques in human Azheimer’s disease. NeuroImage 47:1215–1220
Leskovjan AC, Kretlow A, Miller LM (2010) Fourier transform infrared imaging showing reduced unsaturated lipid content in the hippocampus of a mouse model of Alzheimer’s disease. Anal Chem 82:2711–2716
Gallant M, Rak M, Szeghalmi A et al (2006) Focally elevated creatine detected in amyloid precursor protein (APP) transgenic mice and Alzheimer disease brain tissue. J Biol Chem 281:5–8
Kuzyk A, Kastyak M, Agrawal V et al (2010) Association among amyloid plaque, lipid, and creatine in hippocampus of TgCRND8 mouse model for Alzheimer disease. J Biol Chem 285:31202–31207
Rak M, Del Bigio MR, Mai S et al (2007) Dense-core and diffuse Aβ plaques in TgCRND8 mice studied with synchrotron FTIR microspectroscopy. Biopolymers 87:207–217
Kastyak-Ibrahim MZ, Nasse MJ, Rak M et al (2012) Biochemical label-free tissue imaging with subcellular-resolution synchrotron FTIR with focal array detector. NeuroImage 60:376–383
Chwiej J, Dulinska J, Janeczko K et al (2010) Synchrotron FTIR micro-spectroscopy study of the rat hippocampal formation after pilocarpine-evoked seizures. J Chem Neuroanat 40:140–147
Dulinska J, Setkowicz Z, Janeczko K et al (2012) Synchrotron radiation Fourier-transform infrared and Raman microspectroscopy study showing an increased frequency of creatine inclusions in the rat hippocampal formation following pilocarpine-evoked seizures. Anal Bioanal Chem 402:2267–2274
Kastyak MZ, Szczerbowska-Boruchowska M, Adamek D et al (2010) Pigmented creatine deposits in amyotrophic lateral sclerosis nervous system tissues identified by synchrotron Fourier transform infrared microspectroscopy and X-ray fluorescence spectromicroscopy. Neuroscience 166:1119–1128
Szczebowska-Boruchowska M, Dumas P, Kastyak MZ et al (2007) Biomolecular investigation of human substantia nigra in Parkinson’s disease by synchrotron radiation Fourier transform infrared microspectroscopy. Arch Biochem Biophys 459:241–248
Choo LP, Jackson M, Halliday WC (1993) Infrared spectroscopic characterization of multiple sclerosis plaques in the human central nervous system. Biochim Biophys Acta 1182:333–337
LeVine SM, Wetzel DL (1998) Chemical analysis of multiple lesions by FT-IR microspectroscopy. Free Rad Biol Med 25:33–41
Heraud P, Caine S, Campanale N et al (2010) Early detection of the chemical changes occurring during the induction and prevention of autoimmune-mediated demyelination detected by FT-IR imaging. NeuroImage 49:1180–1189
Pan KM, Baldwin M, Nguyen et al (1993) Conversion of alpha helices into beta-sheets features in the formation of the scrapie prion proteins. Proc Natl Acad Sci U S A 90: 10962–10966
Kneipp J, Beekes M, Lasch P et al (2002) Molecular changes of preclinical scrapie can be detected by infrared spectroscopy. J Neurosci 22:2989–2997
Kneipp J, Miller LM, Joncic M et al (2003) In situ identification of protein structural changes in prion-infected tissue. Biochim Biophys Acta 1639:152–158
Kretlow A, Wang Q, Kneipp J et al (2006) FTIR-microspectroscopy of prion-infected nervous tissue. Biochom Biophys Acta 1758:948–959
Liu KZ, Jackson M, Sowa MG et al (1996) Modification of the extracellular matrix following myocardial infarction monitored by FTIR spectroscopy. Biochim Biophys Acta 1315: 73–77
Liu KZ, Dixon IMC, Mantsch HH (1999) Distribution of collagen deposition in cardiomyopathic hamster hearts determined by infrared microscopy. Cardiovasc Pathol 8:41–47
Gough KM, Zelinski D, Wiens R et al (2003) Fourier transform infrared evaluation of microscopic scarring in the cardiomyopathic heart: effect of chronic AT1 suppression. Anal Biochem 316:232–242
Cheheltani R, Rosano JM, Wang B et al (2012) Fourier transform infrared spectroscopic imaging of cardiac tissue to detect collagen deposition after myocardial infarction. J Biomed Opt 17:056014-1–056014-9
Wang Q, Sanad W, Miller LM et al (2005) Infrared imaging of compositional changes in inflammatory cardiomyopathy. Vib Spectrosc 38:217–222
Toyran N, Lasch P, Naumann D et al (2006) Early alternations in myocardia and vessels of the diabetic rat heart: an FTIR microspectroscopic study. Biochem J 397:427–436
Zohdi V, Wood BR, Pearson JT et al (2012) Evidence of altered biochemical composition in the hearts of adult intrauterine growth-restricted rats. Eur J Nutr. doi:10.1007/s00394-012-0381-x
Chiriboga L, Yee H, Diem M (2000) Infrared spectroscopy of human cells and tissue. Part VI: a comparative study of histopathology and infrared microspectroscopy of normal, cirrhotic, and cancerous liver tissue. App Spectrosc 54:1–8
Chiriboga L, Yee H, Diem M (2000) Infrared spectroscopy of human cells and tissue. Part VII: FT-IR microspectroscopy of DNase- and RNase-treated normal, cirrhotic, and neoplastic liver tissue. App Spectrosc 54:480–485
Liu KZ, Man A, Shaw RA et al (2006) Molecular determination of liver fibrosis by synchrotron infrared microspectroscopy. Biochim Biophys Acta 1758:960–967
Le Naour F, Bralet MP, Debois D et al (2009) Chemical imaging on liver steatosis using synchrotron infrared and ToF-SIMS microspectroscopies. PLoS ONE 4:e7408
Gautam R, Chandrasekar B, Deobagkar-Lele M et al (2012) Identification of early biomarkers during acetaminophen-induced hepatotoxicity by Fourier transform infrared microspectroscopy. PLoS ONE 7:e45521
Acknowledgements
Dr. B.R. Wood is financially supported by an Australian Research Council Future Fellowship FT120100926.
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Malek, K., Wood, B., Bambery, K. (2014). FTIR Imaging of Tissues: Techniques and Methods of Analysis. In: Baranska, M. (eds) Optical Spectroscopy and Computational Methods in Biology and Medicine. Challenges and Advances in Computational Chemistry and Physics, vol 14. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7832-0_15
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