ArticleBiomedical optics express2021
Phasor-based image segmentation: machine learning clustering techniques.
Article in Biomedical optics express, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
26 citing papers in PubMed.
- Phasor-Based Spatio-Spectral Segmentation for Hyperspectral Fluorescence Microscopy.Journal of biophotonics · 2026Article
- Automated FLIM-FRET Segmentation Within RNP Condensates.Bio-protocol · 2026Article
- Multimodal Phasor Analysis for Digital Pathology: Quantitative Characterization of Liver Iron Overload.Chemical & biomedical imaging · 2026Article
- A membrane-permeable small molecule biosensor accesses intractable cells and animals without genetic manipulation.bioRxiv : the preprint server for biology · 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
- Carbon dots as probes in FLIM:a review of applications and advances in cellular imaging.RSC advances · 2025Review
- Quantifying uncertainty in phasor-based time-domain fluorescence lifetime imaging microscopy.Biomedical optics express · 2025Article
- Multiscale transformers and multi-attention mechanism networks for pathological nuclei segmentation.Scientific reports · 2025Article
- Multiphoton microscopy at a microwatt level via gain-managed nonlinear amplification and pulse-picking.Biomedical optics express · 2025Article
- GSLab: open-source platform for advanced phasor analysis in fluorescence microscopy.Bioinformatics (Oxford, England) · 2025Article
- GSLab: Open-Source Platform for Advanced Phasor Analysis in Fluorescence Microscopy.bioRxiv : the preprint server for biology · 2025Article
- Consensus guidelines for cellular label-free optical metabolic imaging: ensuring accuracy and reproducibility in metabolic profiling.Journal of biomedical optics · 2025Article
- Fluorescence lifetime sorting reveals tunable enzyme interactions within cytoplasmic condensates.The Journal of cell biology · 2025Article
- Light-field tomographic fluorescence lifetime imaging microscopy.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Two-photon autofluorescence lifetime assay of rabbit photoreceptors and retinal pigment epithelium during light-dark visual cycles in rabbit retina.Biomedical optics express · 2024Article
- Applications of machine learning in time-domain fluorescence lifetime imaging: a review.Methods and applications in fluorescence · 2024Review
- Multiplexed imaging in live cells using pulsed interleaved excitation spectral FLIM.Optics express · 2024Article
- Phasor identifier: A cloud-based analysis of phasor-FLIM data on Python notebooks.Biophysical reports · 2023Article
- Probing organoid metabolism using fluorescence lifetime imaging microscopy (FLIM): The next frontier of drug discovery and disease understanding.Advanced drug delivery reviews · 2023Review
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
The phasor approach is a well-established method for data visualization and image analysis in spectral and lifetime fluorescence microscopy. Nevertheless, it is typically applied in a user-dependent manner by manually selecting regions of interest on the phasor space to find distinct regions in the fluorescence images. In this paper we present our work on using machine learning clustering techniques to establish an unsupervised and automatic method that can be used for identifying populations of fluorescent species in spectral and lifetime imaging. We demonstrate our method using both synthetic data, created by sampling photon arrival times and plotting the distributions on the phasor plot, and real live cells samples, by staining cellular organelles with a selection of commercial probes.
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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.