1 General Overview on Vibrational Spectroscopy Applied in Biology and Medicine
13
49. Barman I, dingari NC, Singh gP et al (2012) Selective sampling using confocal Raman spectroscopy provides enhanced specificity for urinary bladder cancer diagnosis. Anal Bioanal
Chem 404:3091–3099
50. harvey tJ, gazi E, henderson A et al (2009) Factors influencing the discrimination and classification of prostate cancer cell lines by FtIR microspectroscopy. Analyst 134:1083–1091
51. Bhargava R (2007) towards a practical Fourier transform infrared chemical imaging protocol
for cancer histopathology. Anal Bioanal Chem 389:1155–1169
52. Bhargava R, Fernandez dC, hewitt Sm et al (2006) high throughput assessment of cells and
tissues: Bayesian classification of spectral metrics from infrared vibrational spectroscopic
imaging data. Biochim Biophys Acta 1758:830–845
53. teh SK, Zheng W, ho KY et al (2008) diagnostic potential of near-infrared Raman spectroscopy in the stomach: differentiating dysplasia from normal tissue. Br J Cancer 98:457–465
54. Stone N, Stavroulaki P, Kendall C et al (2000) Raman spectroscopy for early detection of
laryngeal malignancy: preliminary results. Laryngoscope 110:1756–1763
55. Lyng Fm, Faoláin Eo, Conroy J et al (2007) vibrational spectroscopy for cervical cancer
pathology, from biochemical analysis to diagnostic tool. Exp mol Pathol 82:121–129
56. huang Z, mcWilliams A, Lui h et al (2003) Near-infrared Raman spectroscopy for optical
diagnosis of lung cancer. Int J Cancer 107:1047–1052
57. Kaminaka S, Yamazaki h, Ito t et al (2001) Near-infrared Raman spectroscopy of human
lung tissues: possibility of molecular-level cancer diagnosis. J Raman Spectrosc 32:139–141
58. Eckel R, huo h, guan h-W et al (2001) Characteristic infrared spectroscopic patterns in the
protein bands of human breast cancer tissue. vib Spectrosc 27:165–173
59. Walsh mJ, Kajdacsy-Balla A, holton SE et al (2012) Attenuated total reflectance Fouriertransform infrared spectroscopic imaging for breast histopathology. vib Spectrosc 60:23–28
60. Bitar Carter RA, martin AA, Netto mm et al (2004) Ft-Raman spectroscopy study of human
breast tissue. In: mahadevan-Jansen A, Sowa mg, Puppels gJ et al (eds) Proc. SPIE 5321,
Biomedical vibrational spectroscopy and biohazard detection technologies. Bellingham, WA,
pp 190–197
61. Abramczyk h, Brozek-Pluska B, Surmacki J et al (2011) the label-free Raman imaging of
human breast cancer. J mol Liq 164:123–131
62. Abramczyk h, Brozek-Pluska B, Surmacki J et al (2012) Raman “optical biopsy” of human
breast cancer. Prog Biophys mol Biol 108:74–81
63. Shetty g, Kendall C, Shepherd N et al (2006) Raman spectroscopy: elucidation of biochemical changes in carcinogenesis of oesophagus. Br J Cancer 94:1460–1464
64. Larraona-Puy m, ghita A, Zoladek A et al (2012) development of Raman microspectroscopy
for automated detection and imaging of basal cell carcinoma. J Biomed opt 14:054031
65. Nijssen A, Bakker Schut tC, heule F et al (2002) discriminating basal cell carcinoma from
its surrounding tissue by Raman spectroscopy. J Invest dermatol 119:64–69
66. Puppels gJ, de mul FF, otto C et al (1990) Studying single living cells and chromosomes by
confocal Raman microspectroscopy. Nature 347:301–303
67. Fabian h, Choo LI, Szendrei gI et al (1993) Infrared spectroscopic characterization of Alzheimer plaques. Appl Spectrosc 47:1513–1518
68. mizuno A, Kitajima h, Kawauchi K et al (1994) Near-infrared Fourier transform Raman
spectroscopic study of human brain tissues and tumours. J Raman Spectrosc 25:25–29
69. tabas I (2008) Lipids and atherosclerosis. In: vance J, vance d (eds) Biochemistry of lipids,
lipoproteins and membranes, 5th ed. Elsevier, oxford, pp 579–604
70. Peres mB, Silveira L, Zângaro RA et al (2011) Classification model based on Raman spectra
of selected morphological and biochemical tissue constituents for identification of atherosclerosis in human coronary arteries. Lasers med Sci 26:645–655
71. Wang h-W, Langohr Im, Sturek m et al (2009) Imaging and quantitative analysis of atherosclerotic lesions by CARS-based multimodal nonlinear optical microscopy. Arterioscler
thromb vasc Biol 29:1342–1348
72. motz Jt, Fitzmaurice m, haka AS et al (2006) In vivo Raman spectral pathology of human
atherosclerosis and vulnerable plaque. J Biomed opt 11:1–9
13
49. Barman I, dingari NC, Singh gP et al (2012) Selective sampling using confocal Raman spectroscopy provides enhanced specificity for urinary bladder cancer diagnosis. Anal Bioanal
Chem 404:3091–3099
50. harvey tJ, gazi E, henderson A et al (2009) Factors influencing the discrimination and classification of prostate cancer cell lines by FtIR microspectroscopy. Analyst 134:1083–1091
51. Bhargava R (2007) towards a practical Fourier transform infrared chemical imaging protocol
for cancer histopathology. Anal Bioanal Chem 389:1155–1169
52. Bhargava R, Fernandez dC, hewitt Sm et al (2006) high throughput assessment of cells and
tissues: Bayesian classification of spectral metrics from infrared vibrational spectroscopic
imaging data. Biochim Biophys Acta 1758:830–845
53. teh SK, Zheng W, ho KY et al (2008) diagnostic potential of near-infrared Raman spectroscopy in the stomach: differentiating dysplasia from normal tissue. Br J Cancer 98:457–465
54. Stone N, Stavroulaki P, Kendall C et al (2000) Raman spectroscopy for early detection of
laryngeal malignancy: preliminary results. Laryngoscope 110:1756–1763
55. Lyng Fm, Faoláin Eo, Conroy J et al (2007) vibrational spectroscopy for cervical cancer
pathology, from biochemical analysis to diagnostic tool. Exp mol Pathol 82:121–129
56. huang Z, mcWilliams A, Lui h et al (2003) Near-infrared Raman spectroscopy for optical
diagnosis of lung cancer. Int J Cancer 107:1047–1052
57. Kaminaka S, Yamazaki h, Ito t et al (2001) Near-infrared Raman spectroscopy of human
lung tissues: possibility of molecular-level cancer diagnosis. J Raman Spectrosc 32:139–141
58. Eckel R, huo h, guan h-W et al (2001) Characteristic infrared spectroscopic patterns in the
protein bands of human breast cancer tissue. vib Spectrosc 27:165–173
59. Walsh mJ, Kajdacsy-Balla A, holton SE et al (2012) Attenuated total reflectance Fouriertransform infrared spectroscopic imaging for breast histopathology. vib Spectrosc 60:23–28
60. Bitar Carter RA, martin AA, Netto mm et al (2004) Ft-Raman spectroscopy study of human
breast tissue. In: mahadevan-Jansen A, Sowa mg, Puppels gJ et al (eds) Proc. SPIE 5321,
Biomedical vibrational spectroscopy and biohazard detection technologies. Bellingham, WA,
pp 190–197
61. Abramczyk h, Brozek-Pluska B, Surmacki J et al (2011) the label-free Raman imaging of
human breast cancer. J mol Liq 164:123–131
62. Abramczyk h, Brozek-Pluska B, Surmacki J et al (2012) Raman “optical biopsy” of human
breast cancer. Prog Biophys mol Biol 108:74–81
63. Shetty g, Kendall C, Shepherd N et al (2006) Raman spectroscopy: elucidation of biochemical changes in carcinogenesis of oesophagus. Br J Cancer 94:1460–1464
64. Larraona-Puy m, ghita A, Zoladek A et al (2012) development of Raman microspectroscopy
for automated detection and imaging of basal cell carcinoma. J Biomed opt 14:054031
65. Nijssen A, Bakker Schut tC, heule F et al (2002) discriminating basal cell carcinoma from
its surrounding tissue by Raman spectroscopy. J Invest dermatol 119:64–69
66. Puppels gJ, de mul FF, otto C et al (1990) Studying single living cells and chromosomes by
confocal Raman microspectroscopy. Nature 347:301–303
67. Fabian h, Choo LI, Szendrei gI et al (1993) Infrared spectroscopic characterization of Alzheimer plaques. Appl Spectrosc 47:1513–1518
68. mizuno A, Kitajima h, Kawauchi K et al (1994) Near-infrared Fourier transform Raman
spectroscopic study of human brain tissues and tumours. J Raman Spectrosc 25:25–29
69. tabas I (2008) Lipids and atherosclerosis. In: vance J, vance d (eds) Biochemistry of lipids,
lipoproteins and membranes, 5th ed. Elsevier, oxford, pp 579–604
70. Peres mB, Silveira L, Zângaro RA et al (2011) Classification model based on Raman spectra
of selected morphological and biochemical tissue constituents for identification of atherosclerosis in human coronary arteries. Lasers med Sci 26:645–655
71. Wang h-W, Langohr Im, Sturek m et al (2009) Imaging and quantitative analysis of atherosclerotic lesions by CARS-based multimodal nonlinear optical microscopy. Arterioscler
thromb vasc Biol 29:1342–1348
72. motz Jt, Fitzmaurice m, haka AS et al (2006) In vivo Raman spectral pathology of human
atherosclerosis and vulnerable plaque. J Biomed opt 11:1–9