ReviewSensors (Basel, Switzerland)2022
Linear Combination Properties of the Phasor Space in Fluorescence Imaging.
Review in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- PSF-Driven Spatiotemporal Blending in Fluorescence Lifetime Imaging Microscopy and Its Mitigation via Mean-Shift Super-Resolution-Based Masking.ACS photonics · 2026Article
- E. coli Extracellular Matrix: A Tunable Composite With Hierarchical Structure.Advanced materials (Deerfield Beach, Fla.) · 2026Article
- Phasor-based FLIM analysis of NAD(P)H and FAD autofluorescence for label-free bacterial classification.Journal of biomedical optics · 2026Article
- Redefining colocalization analysis with a novel phasor mixing coefficient.Journal of cell science · 2026Article
- A fluorescence lifetime separation approach for FLIM live-cell imaging.Journal of microscopy · 2026Article
- Multi-modal label-free imaging of cellular metabolism and oxidative stress in 3D brain tissue models.Communications biology · 2025Article
- Phasor theory of fluorescence lifetime imaging utilized on a maximum range of frequencies for prostate tissue analysis.Biomedical optics express · 2025Article
- Spectral phasor imaging on a commercial confocal microscope without a spectral detector.Scientific reports · 2025Article
- Quantifying uncertainty in phasor-based time-domain fluorescence lifetime imaging microscopy.Biomedical optics express · 2025Article
- Fluorescence phasor analysis: basic principles and biophysical applications.Biophysical reviews · 2025Review
- Lipid packing and cholesterol content regulate membrane wetting and remodeling by biomolecular condensates.Nature communications · 2025Article
- Consensus guidelines for cellular label-free optical metabolic imaging: ensuring accuracy and reproducibility in metabolic profiling.Journal of biomedical optics · 2025Article
- A STEDable BFMembranes · 2025Article
- Unravelling the different components of nonphotochemical quenching using a novel analytical pipeline.The New phytologist · 2025Article
- Multidimensional quantitative characterization of basal cell carcinoma by spectral- and time-resolved two-photon microscopy.Nanophotonics (Berlin, Germany) · 2024Article
- Label-free fluorescence microscopy: revisiting the opportunities with autofluorescent molecules and harmonic generations as biosensors and biomarkers for quantitative biology.Biophysical reviews · 2023Review
- Novel opportunities from bioimaging to understand the trafficking and maturation of intracellular pulmonary surfactant and its role in lung diseases.Frontiers in immunology · 2023Review
- A FRET-based cGMP biosensor inmicroPublication biology · 2023Article
- Quantitative melanoma diagnosis using spectral phasor analysis of hyperspectral imaging from label-free slices.Frontiers in oncology · 2023Article
- FLUTE: A Python GUI for interactive phasor analysis of FLIM data.Biological imaging · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
The phasor approach to fluorescence lifetime imaging, and more recently hyperspectral fluorescence imaging, has increased the use of these techniques, and improved the ease and intuitiveness of the data analysis. The fit-free nature of the phasor plots increases the speed of the analysis and reduces the dimensionality, optimization of data handling and storage. The reciprocity principle between the real and imaginary space-where the phasor and the pixel that the phasor originated from are linked and can be converted from one another-has helped the expansion of this method. The phasor coordinates calculated from a pixel, where multiple fluorescent species are present, depends on the phasor positions of those components. The relative positions are governed by the linear combination properties of the phasor space. According to this principle, the phasor position of a pixel with multiple components lies inside the polygon whose vertices are occupied by the phasor positions of these individual components and the distance between the image phasor to any of the vertices is inversely proportional to the fractional intensity contribution of that component to the total fluorescence from that image pixel. The higher the fractional intensity contribution of a vertex, the closer is the resultant phasor. The linear additivity in the phasor space can be exploited to obtain the fractional intensity contribution from multiple species and quantify their contribution. This review details the various mathematical models that can be used to obtain two/three/four components from phasor space with known phasor signatures and then how to obtain both the fractional intensities and phasor positions without any prior knowledge of either, assuming they are mono-exponential in nature. We note that other than for blind components, there are no restrictions on the type of the decay or their phasor positions for linear combinations to be valid-and they are applicable to complicated fluorescence lifetime decays from components with intensity decays described by multi-exponentials.
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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.