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Updated: Mar 21, 2026

Fluorescence Lifetime Imaging of Molecular Rotors in Living Cells
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Living Cell Multilifetime Encoding Based on Lifetime-Tunable Lattice-Strained Quantum Dots.

Li Zhang1, Chi Chen1, Wenjun Li1

  • 1Guangdong Key Laboratory of Nanomedicine, CAS Key Laboratory of Health Informatics, Shenzhen Bioactive Materials Engineering Lab for Medicine, Institute of Biomedicine and Biotechnology. Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences , Shenzhen 518055, P. R. China.

ACS Applied Materials & Interfaces
|May 19, 2016
PubMed
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Functional quantum dots with tunable near-infrared fluorescence were synthesized. These quantum dots enable a novel multilifetime encoding strategy for tracking tumor cell clusters using fluorescence lifetime imaging microscopy.

Area of Science:

  • Materials Science
  • Biotechnology
  • Nanotechnology

Background:

  • Quantum dots (QDs) offer unique optical properties for bioimaging.
  • Developing stable, tunable QDs for biological applications remains a challenge.
  • Advanced imaging techniques are needed for precise tumor cell detection.

Purpose of the Study:

  • To synthesize functional quantum dots with tunable near-infrared emission and long fluorescence lifetimes.
  • To develop a novel multilifetime encoding strategy for living cell analysis.
  • To demonstrate the tracking and recognition of specific tumor cell clusters using these QDs.

Main Methods:

  • Synthesis of functional quantum dots (QDs) utilizing lattice strain engineering.
  • Characterization of QD fluorescence emission (620-750 nm) and fluorescence lifetime (30-160 ns).
Keywords:
codesfluorescence lifetime imagingliving cells trackingnear-infrared-emittingquantum dots

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Last Updated: Mar 21, 2026

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  • Development and application of a living cell multilifetime encoding strategy.
  • Utilizing fluorescence lifetime imaging microscopy (FLIM) for cell cluster recognition.
  • Main Results:

    • Successfully synthesized QDs with widely tunable near-infrared fluorescence and long lifetimes.
    • Demonstrated excellent stability of the QDs in terms of photo, colloid, pH, and lifetime.
    • Established a novel strategy for distinguishing and tracking specific tumor cell clusters based on QD lifetime distribution.
    • Achieved precise recognition of targeted tumor cell clusters using FLIM.

    Conclusions:

    • Lattice strain is an effective method for tuning QD optical properties and enhancing stability.
    • The developed QDs and multilifetime encoding strategy provide a robust platform for advanced cellular analysis.
    • This approach offers significant potential for improved diagnostics and research in oncology.