Abstract
Using the Raman spectroscopic analysis system that gives the chemical information of the biomaterials, classification is performed through the acquisition of fingerprint signals for each cell line, and the basis of the diagnosis is provided. The origin of diagnosis can be clarified by precise analysis through comparison of local signals and morphology in cells, including measurement at tissue level. In this result, normal breast cell line (MCF-10A) and breast cancer cell lines (MDA-MB-231, MDA-MB-453) were characterized using Raman spectroscopy, atomic force microscopy (AFM), and optical microscopy. These three modalities were combined in order to not only separate cancerous and noncancerous cell lines but to analyze their morphological and optical properties. From the results, the inherent optical properties of cancer cells separated from normal cells in terms of local variation were observed. Bright-field (BF) transmission imaging is also compared to the morphological height difference obtained from AFM and is correlated with surface Raman spectra.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Abramczyk H et al (2011) The label-free Raman imaging of human breast cancer. J Mol Liq 164(1–2):123–131
Abramczyk H et al (2012) Raman 'optical biopsy’ of human breast cancer. Progress in Biophysics & Molecular Biology 108(1–2):74–81
Bao G, Suresh S (2003) Cell and molecular mechanics of biological materials. Nat Mater 2(11):715–725
Burdall SE et al (2003) Breast cancer cell lines: friend or foe? Breast Cancer Res 5(2):89–95
Calzado-Martin A et al (2016) Effect of actin organization on the stiffness of living breast cancer cells revealed by peak-force modulation atomic force microscopy. ACS Nano 10(3):3365–3374
Carvalho LFCS et al (2015) Raman micro-spectroscopy for rapid screening of oral squamous cell carcinoma. Exp Mol Pathol 98(3):502–509
Feng SY et al (2011) Study on gastric cancer blood plasma based on surface-enhanced Raman spectroscopy combined with multivariate analysis. Science China-Life Sciences 54(9):828–834
Gautam R et al (2015) Raman and mid-infrared spectroscopic imaging: applications and advancements. Curr Sci 108(3):341–356
Haase K, Pelling AE (2015) Investigating cell mechanics with atomic force microscopy. J R Soc Interface 12(104)
Haka AS et al (2005) Diagnosing breast cancer by using Raman spectroscopy. Proc Natl Acad Sci U S A 102(35):12371–12376
Haka AS et al (2009) Diagnosing breast cancer using Raman spectroscopy: prospective analysis. J Biomed Opt:14(5)
Ishigaki M et al (2016) Diagnosis of early-stage esophageal cancer by Raman spectroscopy and chemometric techniques. Analyst 141(3):1027–1033
Kamemoto LE et al (2010) Near-infrared micro-Raman spectroscopy for in vitro detection of cervical cancer. Appl Spectrosc 64(3):255–261
Kawabata T et al (2011) Near-infrared multichannel Raman spectroscopy with a 1064 nm excitation wavelength for ex vivo diagnosis of gastric cancer. J Surg Res 169(2):E137–E143
Kirsch M et al (2010) Raman spectroscopic imaging for in vivo detection of cerebral brain metastases. Anal Bioanal Chem 398(4):1707–1713
Larraona-Puy M et al (2009) Development of Raman microspectroscopy for automated detection and imaging of basal cell carcinoma. J Biomed Opt 14(5)
Larraona-Puy M et al (2011) Discrimination between basal cell carcinoma and hair follicles in skin tissue sections by Raman micro-spectroscopy. J Mol Struct 993(1–3):57–61
Lee YJ et al (2013) Label-free and quantitative evaluation of cytotoxicity based on surface nanostructure and biophysical property of cells utilizing AFM. Micron 49:54–59
Lee S et al (2018) Local-dependency of morphological and optical properties between breast cancer cell lines. Spectrochim Acta A Mol Biomol Spectrosc 205:132–138
Li QS et al (2008) AFM indentation study of breast cancer cells. Biochem Biophys Res Commun 374(4):609–613
Li Y et al (2010) Research on the Raman spectral character and diagnostic value of squamous cell carcinoma of oral mucosa. J Raman Spectrosc 41(2):142–147
Liu TY et al (2011) Functionalized arrays of Raman-enhancing nanoparticles for capture and culture-free analysis of bacteria in human blood. Nat Commun 2
Lyng FM et al (2007) Vibrational spectroscopy for cervical cancer pathology, from biochemical analysis to diagnostic tool. Exp Mol Pathol 82(2):121–129
Maiti NC et al (2004) Raman spectroscopic characterization of secondary structure in natively unfolded proteins: alpha-synuclein. J Am Chem Soc 126(8):2399–2408
Marro M et al (2014) Dynamic molecular monitoring of retina inflammation by in vivo Raman spectroscopy coupled with multivariate analysis. J Biophotonics 7(9):724–734
McQueenie R et al (2012) Detection of inflammation in vivo by surface-enhanced Raman scattering provides higher sensitivity than conventional fluorescence imaging. Anal Chem 84(14):5968–5975
Neugebauer U et al (2010) Towards detection and identification of circulating tumour cells using Raman spectroscopy. Analyst 135(12):3178–3182
Oshima Y et al (2010) Discrimination analysis of human lung cancer cells associated with histological type and malignancy using Raman spectroscopy. J Biomed Opt 15(1)
Rehman S et al (2007) Raman spectroscopic analysis of breast cancer tissues: identifying differences between normal, invasive ductal carcinoma and ductal carcinoma in situ of the breast tissue. J Raman Spectrosc 38(10):1345–1351
Rygula A et al (2013) Raman spectroscopy of proteins: a review. J Raman Spectrosc 44(8):1061–1076
Saha A et al (2011) Raman spectroscopy: a real-time tool for identifying microcalcifications during stereotactic breast core needle biopsies. Biomed Opt Express 2(10):2792–2803
Sato H et al (2009) Raman study of brain functions in live mice and rats: a pilot study. Vib Spectrosc 50(1):125–130
Shapiro A et al (2011) Raman molecular imaging: a novel spectroscopic technique for diagnosis of bladder cancer in urine specimens. Eur Urol 59(1):106–112
Singh B et al (2012) Application of vibrational microspectroscopy to biology and medicine. Curr Sci 102(2):232–244
Smith R, Wright KL, Ashton L (2016) Raman spectroscopy: an evolving technique for live cell studies. Analyst 141(12):3590–3600
Synytsya A et al (2014) Raman spectroscopy at different excitation wavelengths (1064, 785 and 532 nm) as a tool for diagnosis of colon cancer. J Raman Spectrosc 45(10):903–911
Talari ACS et al (2015) Raman spectroscopic analysis differentiates between breast cancer cell lines. J Raman Spectrosc 46(5):421–427
Zhou HB et al (2014) SERS detection of bacteria in water by in situ coating with Ag nanoparticles. Anal Chem 86(3):1525–1533
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Lee, S., Kim, J.K. (2021). Label-Free Raman Spectroscopic Techniques with Morphological and Optical Characterization for Cancer Cell Analysis. In: Kim, J.K., Kim, J.K., Pack, CG. (eds) Advanced Imaging and Bio Techniques for Convergence Science. Advances in Experimental Medicine and Biology, vol 1310. Springer, Singapore. https://doi.org/10.1007/978-981-33-6064-8_14
Download citation
DOI: https://doi.org/10.1007/978-981-33-6064-8_14
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-33-6063-1
Online ISBN: 978-981-33-6064-8
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)