ArticleJournal of biomedical optics2021
Recent innovations in fluorescence lifetime imaging microscopy for biology and medicine.
Article in Journal of biomedical optics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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Who cites it
28 citing papers in PubMed, 63 citations in OpenAlex.
- Development of solid-state fluorescence lifetime standards for clinical applications using dyed epoxy resins.Journal of biomedical optics · 2026Article
- Changes in the metabolism of axillary lymph node cells as a predictor of regional metastasis in breast cancer.World journal of experimental medicine · 2026Article
- Emerging trends of fluorescence lifetime imaging microscopy (FLIM): advances, challenges, and prospects.Biophysics reports · 2026Article
- Endogenous Labelling of Extracellular Vesicles and Image Capture of Their Interactions With Acceptor Cells.Chembiochem : a European journal of chemical biology · 2026Article
- Development of three-colour FRET cascade for force sensing of the putative RIAM-vinculin interaction in fibroblasts.Communications chemistry · 2025Article
- Transition metal complexes as optical probes for super-resolution microscopy.Nature reviews. Chemistry · 2025Review
- Deep Learning for Fluorescence Lifetime Predictions Enables High-Throughput In Vivo Imaging.Journal of the American Chemical Society · 2025Article
- Development of Time-Resolved Luminescence Measurement Instruments for Biosensing and Bioimaging - An Overview.Measurement : journal of the International Measurement Confederation · 2025Article
- Intravascular imaging for acute coronary syndrome.NPJ cardiovascular health · 2025Review
- Consensus guidelines for cellular label-free optical metabolic imaging: ensuring accuracy and reproducibility in metabolic profiling.Journal of biomedical optics · 2025Article
- Fluorescence Lifetime Endoscopy with a Nanosecond Time-Gated CAPS Camera with IRF-Free Deep Learning Method.Sensors (Basel, Switzerland) · 2025Article
- Fluorescence Lifetime Imaging of NAD(P)H in Patients' Lymphocytes: Evaluation of Efficacy of Immunotherapy.Cells · 2025Article
- Future applications of fluorescence lifetime imaging ophthalmoscopy in neuro-ophthalmology, neurology, and neurodegenerative conditions.Frontiers in neurology · 2025Review
- Utilizing Molecular Dynamics Simulations, Machine Learning, Cryo-EM, and NMR Spectroscopy to Predict and Validate Protein Dynamics.International journal of molecular sciences · 2024Review
- A water-soluble, cell-permeable Mn(ii) sensor enables visualization of manganese dynamics in live mammalian cells.Chemical science · 2024Article
- Imaging immunometabolismImmunometabolism (Cobham, Surrey) · 2024Article
- A time-correlated single photon counting SPAD array camera with a bespoke data-processing algorithm for lightsheet fluorescence lifetime imaging (FLIM) and FLIM videos.Scientific reports · 2024Article
- Fluorescence Microscopy with Deep UV, Near UV, and Visible Excitation forAstrobiology · 2024Article
- Applications of machine learning in time-domain fluorescence lifetime imaging: a review.Methods and applications in fluorescence · 2024Review
- Multiplexed near infrared fluorescence lifetime imaging in turbid media.Journal of biomedical optics · 2024Article
Corrections and comments
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Authors and funding
4 authors at 3 institutions in 1 country.
Funding
Abstract
significanceFluorescence lifetime imaging microscopy (FLIM) measures the decay rate of fluorophores, thus providing insights into molecular interactions. FLIM is a powerful molecular imaging technique that is widely used in biology and medicine.
aimThis perspective highlights some of the major advances in FLIM instrumentation, analysis, and biological and clinical applications that we have found impactful over the last year. APPROACH: Innovations in FLIM instrumentation resulted in faster acquisition speeds, rapid imaging over large fields of view, and integration with complementary modalities such as single-molecule microscopy or light-sheet microscopy. There were significant developments in FLIM analysis with machine learning approaches to enhance processing speeds, fit-free techniques to analyze images without a priori knowledge, and open-source analysis resources. The advantages and limitations of these recent instrumentation and analysis techniques are summarized. Finally, applications of FLIM in the last year include label-free imaging in biology, ophthalmology, and intraoperative imaging, FLIM of new fluorescent probes, and lifetime-based Förster resonance energy transfer measurements.
conclusionsA large number of high-quality publications over the last year signifies the growing interest in FLIM and ensures continued technological improvements and expanding applications in biomedical research.
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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.