466
K. malek et al.
prior to image processing because the second derivative highlights band shifts and
inflection points in the spectrum and does not rely on linear absorbance directly. In
the case of fixed exfoliated cells, which vary in both size and thickness, the wavelength dependent scattering is exacerbated and more difficult to correct. It appears
that IR transparent windows are the only solution to negate the standing-wave-effect in the case of fixed exfoliated or cultured cells although more work is required
to verify the findings in relation to diagnostic capability.
FtIR imaging has come a long way in the last 10 years especially in terms of
the data processing speeds and understanding contributions to the spectra. With the
development of bench top synchrotron sources and refinements to the optic and
detector electronics a new laboratory gold standard is on the horizon.
Acknowledgements dr. B.R. Wood is financially supported by an Australian Research Council
Future Fellowship Ft120100926.
References
1. mantsch hh, Jackson m (1995) molecular spectroscopy in biodiagnostics (from hippocrates
to herschel and beyond). J mol Struct 347:187–206
2. husseinzadeh N (2011) Status of tumor markers in epithelial ovarian cancer, has there been
any progress? A review. gynecol oncol 120:152–157
3. Breen m (2010) update on genomics in veterinary oncology. top Companion Anim med
24:113–121
4. 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
5. Staudt Lm, dave S (2005) the biology of human lymphoid malignancies revealed by gene
expression profiling. Adv Immunol 87:163–208
6. moore Jh, Asselbergs FW, Williams Sm (2010) Bioinformatics challenges for genome-wide
association studies. Bioinformatics 24:445–455
7. 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
8. Ellis dI, dunn WB, griffin JL et al (2007) metabolic fingerprinting as a diagnostic tool.
Pharmacogenomics 8:1243–1266
9. 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
10. 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
11. 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
12. 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
13. Liu KZ, Tsang KS, Li CK et al (2003) Infrared spectroscopic identification of β-thalassemia.
Clin Chem 49:1125–1132
K. malek et al.
prior to image processing because the second derivative highlights band shifts and
inflection points in the spectrum and does not rely on linear absorbance directly. In
the case of fixed exfoliated cells, which vary in both size and thickness, the wavelength dependent scattering is exacerbated and more difficult to correct. It appears
that IR transparent windows are the only solution to negate the standing-wave-effect in the case of fixed exfoliated or cultured cells although more work is required
to verify the findings in relation to diagnostic capability.
FtIR imaging has come a long way in the last 10 years especially in terms of
the data processing speeds and understanding contributions to the spectra. With the
development of bench top synchrotron sources and refinements to the optic and
detector electronics a new laboratory gold standard is on the horizon.
Acknowledgements dr. B.R. Wood is financially supported by an Australian Research Council
Future Fellowship Ft120100926.
References
1. mantsch hh, Jackson m (1995) molecular spectroscopy in biodiagnostics (from hippocrates
to herschel and beyond). J mol Struct 347:187–206
2. husseinzadeh N (2011) Status of tumor markers in epithelial ovarian cancer, has there been
any progress? A review. gynecol oncol 120:152–157
3. Breen m (2010) update on genomics in veterinary oncology. top Companion Anim med
24:113–121
4. 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
5. Staudt Lm, dave S (2005) the biology of human lymphoid malignancies revealed by gene
expression profiling. Adv Immunol 87:163–208
6. moore Jh, Asselbergs FW, Williams Sm (2010) Bioinformatics challenges for genome-wide
association studies. Bioinformatics 24:445–455
7. 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
8. Ellis dI, dunn WB, griffin JL et al (2007) metabolic fingerprinting as a diagnostic tool.
Pharmacogenomics 8:1243–1266
9. 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
10. 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
11. 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
12. 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
13. Liu KZ, Tsang KS, Li CK et al (2003) Infrared spectroscopic identification of β-thalassemia.
Clin Chem 49:1125–1132