Investigating Spectral Biomarker Candidates for Migratory Potential in Cancer Cells Using Micro-FTIR and O-PTIR Spectroscopy
Year: 2026
Type: article
Abstract: Routine diagnostic practice for cancer and metastasis relies on a time-consuming staining process and the use of antibodies to detect selected molecular markers and is hence limited by a lack of real-time data and the availability of molecular information. Against this background, techniques based on rapid chemical analysis to identify migratory properties are highly desirable. Fourier-Transform Infrared (FTIR) microspectroscopy has a long history in the label-free identification of infrared marker bands for cancer detection. However, it requires extensive postprocessing of the acquired spectra, is of limited suitability for analysis in aqueous environments, and has poor spatial resolution. To overcome these challenges, we are using a new method termed Optical Photothermal Infrared (O-PTIR) spectroscopy to detect local absorption to establish potential IR tumor markers and classification models. We report on experimental outcomes using machine learning and FTIR microspectroscopy for the classification of cells and the analysis of spectral features reflecting cancer and migratory properties, comparing a commercial FTIR microspectrometer to a custom-built O-PTIR instrument dedicated to spectroscopic measurement and imaging in microfluidic channels.
Source: ACS Measurement Science Au
Language: English
Subfield: Biophysics
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,500
Funders: Bundesministerium für Arbeit und Wirtschaft, Österreichische Nationalstiftung für Forschung, Technologie und Entwicklung, European Commission, Academy of Finland, Austrian Science Fund, Suomen Kulttuurirahasto, Jane ja Aatos Erkon Säätiö, Technische Universität Wien, Christian Doppler Forschungsgesellschaft, Sigrid Juséliuksen Säätiö, Svenska Kulturfonden, Syöpäsäätiö, Horizon 2020 Framework Programme, Technische Universität Wien Bibliothek
OpenAlex ID: W7125328870
