University of Oulu

Shakya, B. R., Teppo, H.-R., & Rieppo, L. (2022). Optimization of measurement mode and sample processing for FTIR microspectroscopy in skin cancer research. The Analyst, 147(5), 851–861.

Optimization of measurement mode and sample processing for FTIR microspectroscopy in skin cancer research

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Author: Shakya, Bijay Ratna1; Teppo, Hanna-Riikka2,3,4; Rieppo, Lassi1
Organizations: 1Research Unit of Medical Imaging, Physics and Technology, Faculty of Medicine, University of Oulu, Aapistie 5 A, Oulu, Finland
2Cancer Research and Translational Medicine Research Unit, University of Oulu, Aapistie 5 A, Oulu, Finland
3Department of Pathology, Oulu University Hospital, Oulu, Finland
4Medical Research Center Oulu, Oulu University Hospital and University of Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 4.2 MB)
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Language: English
Published: Royal Society of Chemistry, 2022
Publish Date: 2022-09-08


The use of Fourier Transform Infrared (FTIR) microspectroscopy to study cancerous cells and tissues has gained popularity due to its ability to provide spatially resolved information at the molecular level. Transmission and transflection are the commonly used measurement modes for FTIR microspectroscopy, and the tissue samples measured in these modes are often paraffinized or deparaffinized. Previous studies have shown that variability in the spectra acquired using different measurement modes and sample processing methods affect the result of the analysis. However, there is no protocol that standardizes the mode of measurement and sample processing method to achieve the best classification result. This study compares the spectra of primary (IPC-298) and metastatic (SK-MEL-30) melanoma cell lines acquired in both transmission and transflection modes using paraffinized and deparaffinized samples to determine the optimal combination for accurate classification. Significant differences were observed in the spectra of the same cell line measured in different modes and with or without deparaffinization. The PLS-DA model built for the classification of two cell lines showed high accuracy in each case, suggesting that both modes and sample processing alternatives are suitable for differentiating cultured cell samples using supervised multivariate analysis. The biochemical information contained in the cells capable of discriminating two melanoma cell lines is present regardless of mode or sample type used. However, the paraffinized samples measured in transflection mode provided the best classification.

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Series: Analyst
ISSN: 0003-2654
ISSN-E: 1364-5528
ISSN-L: 0003-2654
Volume: 147
Issue: 5
Pages: 851 - 861
DOI: 10.1039/D1AN01999F
Type of Publication: A1 Journal article – refereed
Field of Science: 217 Medical engineering
3122 Cancers
Funding: This research was supported by Finnish Cultural Foundation (grant number: 00211005), Finland.
Copyright information: This journal is © The Royal Society of Chemistry 2022. This article is licensed under a Creative Commons Attribution 3.0 Unported Licence.