ArticleOptics letters2021
Time-domain single photon-excited autofluorescence lifetime for label-free detection of T cell activation.
Article in Optics letters, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.
- Illuminating Immunity: A Systematic Review of Immune Cell Autofluorescence.Journal of biophotonics · 2025Pooled it
- Autofluorescence imaging reveals the impact of cryopreservation on T cell metabolism and activation response.Molecular therapy. Advances · 2026Article
- Redox index and capacity analysis (RICA) reveals NAD biology changes in T cell responses in vitro and ex vivo.Journal of immunology (Baltimore, Md. : 1950) · 2026Article
- Label-free metabolic imaging monitors the fitness of chimeric antigen receptor T cells.Nature biomedical engineering · 2026Article
- Autofluorescence imaging reveals the impact of cryopreservation on T cell metabolism and activation response.bioRxiv : the preprint server for biology · 2025Article
- FLIMB: fluorescence lifetime microendoscopy for metabolic and functional imaging of femoral marrow at subcellular resolution.Biomedical optics express · 2025Article
- Measuring Metabolic Changes in Cancer Cells Using Two-Photon Fluorescence Lifetime Imaging Microscopy and Machine-Learning Analysis.Journal of biophotonics · 2025Article
- Autofluorescence lifetime flow cytometry with time-correlated single photon counting.Cytometry. Part A : the journal of the International Society for Analytical Cytology · 2024Article
- Inflammatory CD4/CD8 double-positive human T cells arise from reactive CD8 T cells and are sufficient to mediate GVHD pathology.Science advances · 2023Article
- Label-free optical imaging of cell function and collagen structure for cell-based therapies.Current opinion in biomedical engineering · 2023Article
- Touch-free optical technologies to streamline the production of T cell therapies.Current opinion in biomedical engineering · 2023Article
- Ex vivo hypercellular parathyroid gland differentiation using dynamic optical contrast imaging (DOCI).Biomedical optics express · 2022Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Fluorescence lifetime imaging microscopy (FLIM) is a powerful technique, capable of label-free assessment of the metabolic state and function within single cells. The FLIM measurements of autofluorescence were recently shown to be sensitive to the functional state and subtype of T cells. Therefore, autofluorescence FLIM could improve cell manufacturing technologies for adoptive immunotherapy, which currently require a time-intensive process of cell labeling with fluorescent antibodies. However, current autofluorescence FLIM implementations are typically too slow, bulky, and prohibitively expensive for use in cell manufacturing pipelines. Here we report a single photon-excited confocal whole-cell autofluorescence system that uses fast field-programmable gate array-based time tagging electronics to achieve time-correlated single photon counting (TCSPC) of single-cell autofluorescence. The system includes simultaneous near-infrared bright-field imaging and is sensitive to variations in the fluorescence decay profile of the metabolic coenzyme NAD(P)H in human T cells due to the activation state. The classification of activated and quiescent T cells achieved high accuracy and precision (area under the receiver operating characteristic curve, AUC = 0.92). The lower-cost, higher acquisition speed, and resistance to pile-up effects at high photon flux compared to traditional multiphoton-excited FLIM and TCSPC implementations with similar SNR make this system attractive for integration into flow cytometry, sorting, and quality control in cell manufacturing.
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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.