ArticleProceedings of the National Academy of Sciences of the United States of America2011
Phasor approach to fluorescence lifetime microscopy distinguishes different metabolic states of germ cells in a live tissue.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 239 papers.
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Who cites it
239 citing papers in PubMed, 433 citations in OpenAlex.
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- Phasor-Based Spatio-Spectral Segmentation for Hyperspectral Fluorescence Microscopy.Journal of biophotonics · 2026Article
- The microenvironment dictates glyco-immune surveillance via HSF1-mediated metabolism.Science advances · 2026Article
- Metabolic trajectories in developing human neocortical neurons.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Label-Free and Immobilization-Free Protein-Binding Assays by Ultraviolet Transient Absorption Microscopy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
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- Investigating Cellular Magnetic Bioeffects Using Two-Channel, Two-Photon Autofluorescence Lifetime Microscopy.IEEE transactions on molecular, biological, and multi-scale communications · 2026Article
- Redefining colocalization analysis with a novel phasor mixing coefficient.Journal of cell science · 2026Article
- Autofluorescence lifetime of gelatin-methacrylate hydrogels is sensitive to changes in crosslinking and post-gelation pH.Frontiers in bioengineering and biotechnology · 2026Article
- FLIM intensity-based image segmentation reveals upregulated energy metabolism and chemotherapy sensitivity in MCF-7 cells.Journal of cell science · 2025Article
- Fast volumetric fluorescence lifetime imaging of multicellular systems using single-objective light-sheet microscopy.Communications biology · 2025Article
- Label-free nonlinear microscopy probes cellular metabolism and myelin dynamics in live tissue.Communications biology · 2025Article
- Denoising of fluorescence lifetime imaging data via principal component analysis.Scientific reports · 2025Article
- The nonsteroidal MR antagonist finerenone reverses Western diet-induced kidney disease by regulating mitochondrial and lipid metabolism and inflammation.American journal of physiology. Renal physiology · 2025Article
- Phasor and neural network approaches for rapid fluorophore fraction analysis in temporal-spectral multiplexed data.Journal of biomedical optics · 2025Article
- Repeated activation of Gαq has a detrimental impact on C. elegans in an age-dependent manner.The Journal of biological chemistry · 2025Article
179 more citing papers are in PubMed but not listed here.
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
We describe a label-free imaging method to monitor stem-cell metabolism that discriminates different states of stem cells as they differentiate in living tissues. In this method we use intrinsic fluorescence biomarkers and the phasor approach to fluorescence lifetime imaging microscopy in conjunction with image segmentation, which we use to introduce the concept of the cell phasor. In live tissues we are able to identify intrinsic fluorophores, such as collagen, retinol, retinoic acid, porphyrin, flavins, and free and bound NADH. We have exploited the cell phasor approach to detect a trend in metabolite concentrations along the main axis of the Caenorhabditis elegans germ line. This trend is consistent with known changes in metabolic states during differentiation. The cell phasor approach to lifetime imaging provides a label-free, fit-free, and sensitive method to identify different metabolic states of cells during differentiation, to sense small changes in the redox state of cells, and may identify symmetric and asymmetric divisions and predict cell fate. Our method is a promising noninvasive optical tool for monitoring metabolic pathways during differentiation or disease progression, and for cell sorting in unlabeled tissues.
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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.