Fibre-optic based Exploration of Lung Cancer Autofluorescence using Spectral Fluorescence Lifetime

Alexandra C. Adams, Andras Kufcsak, Charles Lochenie, Mohsen Khadem, Ahsan R. Akram, Kevin Dhaliwal, Sohan Seth*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

Fibre-optic based time-resolved fluorescence spectroscopy (TRFS) is an advanced spectroscopy technique which generates sample-specific spectral-temporal signature, characterising variations in fluorescence in real-time. As such, it can be used to interrogate tissue autofluorescence. Recent advancements in TRFS technology, including the development of devices which simultaneously measure high-resolution spectral and temporal fluorescence, paired with novel analysis methods extracting information from these multidimensional measurements effectively, provide additional insight into the underlying autofluorescence features of a sample. This study demonstrates, using both simulated data and endogenous fluorophores measured bench-side, that the shape of the spectral fluorescence lifetime, or fluorescence lifetimes estimated over high-resolution spectral channels across a broad range, is influenced by the relative abundance of underlying fluorophores in mixed systems and their respective environment. This study, furthermore, explores the properties of the spectral fluorescence lifetime in paired lung tissue deemed either abnormal or normal by pathologists. We observe that, on average, the shape of the spectral fluorescence lifetime at multiple locations sampled on 14 abnormal lung tissue, compared to multiple locations sampled on the respective paired normal lung tissue, shows more variability; and, while not statistically significant, the average spectral fluorescence lifetime in abnormal tissue is consistently lower over every wavelength than the normal tissue.
Original languageEnglish
Pages (from-to)1132-1147
Number of pages21
JournalBiomedical Optics Express
Volume15
Issue number2
DOIs
Publication statusPublished - 26 Jan 2024

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