ArticleJournal of biomedical optics2016
Label-free identification of macrophage phenotype by fluorescence lifetime imaging microscopy.
Article in Journal of biomedical optics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
48 citing papers in PubMed, 1 synthesis or guideline pooled it, 72 citations in OpenAlex.
- Illuminating Immunity: A Systematic Review of Immune Cell Autofluorescence.Journal of biophotonics · 2025Pooled it
- Label-free pathological subtyping of non-small cell lung cancer using deep classification and virtual immunohistochemical staining.NPJ digital medicine · 2026Article
- Label-free nonlinear microscopy probes cellular metabolism and myelin dynamics in live tissue.Communications biology · 2025Article
- Deep metabolic profiling of immune cells by spectral flow cytometry-A comprehensive validation approach.iScience · 2025Article
- High-speed fluorescence lifetime imaging microscopy: techniques, applications, and prospects.Biophotonics discovery · 2025Review
- Consensus guidelines for cellular label-free optical metabolic imaging: ensuring accuracy and reproducibility in metabolic profiling.Journal of biomedical optics · 2025Article
- Two-photon NAD(P)H-FLIM reveals unperturbed energy metabolism of Ascaris suum larvae, in contrast to host macrophages upon artemisinin derivatives exposure.Scientific reports · 2025Article
- Autofluorescence lifetime imaging classifies human B and NK cell activation state.Frontiers in bioengineering and biotechnology · 2025Article
- Evaluation of Cellpose segmentation with sequential thresholding for instance segmentation of cytoplasms within autofluorescence images.Computers in biology and medicine · 2024Article
- Hydrogel crosslinking modulates macrophages, fibroblasts, and their communication, during wound healing.Nature communications · 2024Article
- Imaging immunometabolismImmunometabolism (Cobham, Surrey) · 2024Article
- Label-free single-cell live imaging reveals fast metabolic switch in T lymphocytes.Molecular biology of the cell · 2024Article
- Deep learning-based virtual H& E staining from label-free autofluorescence lifetime images.Npj imaging · 2024Article
- Perfusability and immunogenicity of implantable pre-vascularized tissues recapitulating features of native capillary network.Bioactive materials · 2023Article
- Label-free optical imaging of cell function and collagen structure for cell-based therapies.Current opinion in biomedical engineering · 2023Article
- Label-free spatially maintained measurements of metabolic phenotypes in cells.Frontiers in bioengineering and biotechnology · 2023Article
- FLUTE: A Python GUI for interactive phasor analysis of FLIM data.Biological imaging · 2023Article
- Comparison of phasor analysis and biexponential decay curve fitting of autofluorescence lifetime imaging data for machine learning prediction of cellular phenotypes.Frontiers in bioinformatics · 2023Article
- Label-free optical metabolic imaging of adipose tissues for prediabetes diagnosis.Theranostics · 2023Article
- POSEA: A novel algorithm to evaluate the performance of multi-object instance image segmentation.PloS one · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
Macrophages adopt a variety of phenotypes that are a reflection of the many functions they perform as part of the immune system. In particular, metabolism is a phenotypic trait that differs between classically activated, proinflammatory macrophages, and alternatively activated, prohealing macrophages. Inflammatory macrophages have a metabolism based on glycolysis while alternatively activated macrophages generally rely on oxidative phosphorylation to generate chemical energy. We employ this shift in metabolism as an endogenous marker to identify the phenotype of individual macrophages via live-cell fluorescence lifetime imaging microscopy (FLIM). We demonstrate that polarized macrophages can be readily discriminated with the aid of a phasor approach to FLIM, which provides a fast and model-free method for analyzing fluorescence lifetime images.
Indexed as
Identifiers
What OpenQuestion holds
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.