ArticleBiomedical optics express2024
Fibre-optic based exploration of lung cancer autofluorescence using spectral fluorescence lifetime.
Article in Biomedical optics express, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Who cites it
8 citing papers in PubMed.
- Label-free pathological subtyping of non-small cell lung cancer using deep classification and virtual immunohistochemical staining.NPJ digital medicine · 2026Article
- Hidden in visible light: spectral-temporal unmixing of lung tissue autofluorescence in a fibre-based system.Biomedical optics express · 2026Article
- Adaptive fluorescence lifetime imaging with per-pixel signal optimization and flexible scanning.Biomedical optics express · 2025Article
- Data-Centric Learning Framework for Real-Time Detection of Aiming Beam in Fluorescence Lifetime Imaging Guided Surgery.IEEE transactions on bio-medical engineering · 2025Article
- Phasor and neural network approaches for rapid fluorophore fraction analysis in temporal-spectral multiplexed data.Journal of biomedical optics · 2025Article
- Identification of colorectal malignancies enabled by phasor-based autofluorescence lifetime macroimaging and ensemble learning.Biophotonics discovery · 2025Article
- Machine Learning Empowered a Graphical User Interface on Native Fluorescence to Predict Breast Cancer.ACS omega · 2025Article
- TAJ-Net: a two-stage clustered cell segmentation network with adaptive joint learning of spatial and spectral information.Biomedical optics express · 2024Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Fibre-optic based time-resolved fluorescence spectroscopy (TRFS) is an advanced spectroscopy technique that 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 that 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
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Registered trials
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