ArticleProceedings of the National Academy of Sciences of the United States of America2022
Label-free sensing of cells with fluorescence lifetime imaging: The quest for metabolic heterogeneity.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.
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Who cites it
51 citing papers in PubMed.
- FLIMExplorer: interactive GUI for object-based visualization and analysis of fluorescence lifetime images.JPhys photonics · 2026Article
- Effects of surgical resection on tissue autofluorescence lifetime signatures in head and neck cancer: implications for intraoperative tumor margin assessment.Journal of biomedical optics · 2026Article
- FLIM Playground: An interactive, end-to-end graphical user interface for analyzing single cells with fluorescence lifetime imaging microscopy.Cell reports methods · 2026Article
- Illuminating aging with multimodal optical metabolic imaging.Science advances · 2026Review
- Prediction of Patients' Response to Immune Checkpoint Inhibitors Using Fluorescence Lifetime Imaging of Lymphocytes.Biomedicines · 2026Article
- Lifetime chemical sensor arrays of organic fluorophores for bacterial fingerprinting.Nature communications · 2026Article
- PSF-Driven Spatio-Temporal Blending in Fluorescence Lifetime Imaging Microscopy and Its Mitigation via Mean-Shift Super-Resolution-Based Masking.bioRxiv : the preprint server for biology · 2026Article
- Chemical fluorophores for fluorescence lifetime imaging.Chemical Society reviews · 2026Review
- Autofluorescence and deep learning in early disease detection: biological foundations, clinical applications, and future directions.Frontiers in artificial intelligence · 2026Review
- Fluorescence Lifetime Imaging Techniques-A Review on Principles, Applications and Clinical Relevance.Journal of biophotonics · 2025Review
- Denoising of fluorescence lifetime imaging data via principal component analysis.Scientific reports · 2025Article
- FLIM Playground: An interactive, end-to-end graphical user interface for analyzing single cells with fluorescence lifetime imaging microscopy.bioRxiv : the preprint server for biology · 2025Article
- Carbon dots as probes in FLIM:a review of applications and advances in cellular imaging.RSC advances · 2025Review
- Article
- High-speed fluorescence lifetime imaging microscopy: techniques, applications, and prospects.Biophotonics discovery · 2025Review
- Practical guide to fluorescence lifetime imaging microscopy.Molecular biology of the cell · 2025Review
- FLIMB: fluorescence lifetime microendoscopy for metabolic and functional imaging of femoral marrow at subcellular resolution.Biomedical optics express · 2025Article
- Lipid Metabolic Heterogeneity during Early Embryogenesis Revealed by Hyper-3D Stimulated Raman Imaging.Chemical & biomedical imaging · 2025Article
- Persistent Metabolic Changes Are Induced by 24 h Low-Dose Lead (Pb) Exposure in Zebrafish Embryos.International journal of molecular sciences · 2025Article
- Fluorescence molecular imaging technology: a promising new strategy for the diagnosis and treatment of gynecologic tumors.Frontiers in bioengineering and biotechnology · 2025Review
Corrections and comments
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Authors and funding
15 authors.
Funding
Abstract
Molecular, morphological, and physiological heterogeneity is the inherent property of cells which governs differences in their response to external influence. Tumor cell metabolic heterogeneity is of a special interest due to its clinical relevance to tumor progression and therapeutic outcomes. Rapid, sensitive, and noninvasive assessment of metabolic heterogeneity of cells is a great demand for biomedical sciences. Fluorescence lifetime imaging (FLIM), which is an all-optical technique, is an emerging tool for sensing and quantifying cellular metabolism by measuring fluorescence decay parameters of endogenous fluorophores, such as NAD(P)H. To achieve accurate discrimination between metabolically diverse cellular subpopulations, appropriate approaches to FLIM data collection and analysis are needed. In this paper, the unique capability of FLIM to attain the overarching goal of discriminating metabolic heterogeneity is demonstrated. This has been achieved using an approach to data analysis based on the nonparametric analysis, which revealed a much better sensitivity to the presence of metabolically distinct subpopulations compared to more traditional approaches of FLIM measurements and analysis. The approach was further validated for imaging cultured cancer cells treated with chemotherapy. These results pave the way for accurate detection and quantification of cellular metabolic heterogeneity using FLIM, which will be valuable for assessing therapeutic vulnerabilities and predicting clinical outcomes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.