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Single‐Nanoparticle Cell Barcoding by Tunable FRET from Lanthanides to Quantum Dots
Fluorescence barcoding based on nanoparticles provides many advantages for multiparameter imaging. However, creating different concentration‐independent codes without mixing various nanoparticles and by using single‐wavelength excitation and emission for multiplexed cellular imaging is extremely cha...
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Published in: | Angewandte Chemie International Edition 2018-10, Vol.57 (41), p.13686-13690 |
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Main Authors: | , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Fluorescence barcoding based on nanoparticles provides many advantages for multiparameter imaging. However, creating different concentration‐independent codes without mixing various nanoparticles and by using single‐wavelength excitation and emission for multiplexed cellular imaging is extremely challenging. Herein, we report the development of quantum dots (QDs) with two different SiO2 shell thicknesses (6 and 12 nm) that are coated with two different lanthanide complexes (Tb and Eu). FRET from the Tb or Eu donors to the QD acceptors resulted in four distinct photoluminescence (PL) decays, which were encoded by simple time‐gated (TG) PL intensity detection in three individual temporal detection windows. The well‐defined single‐nanoparticle codes were used for live cell imaging and a one‐measurement distinction of four different cells in a single field of view. This single‐color barcoding strategy opens new opportunities for multiplexed labeling and tracking of cells.
Temporal RGB codes: FRET from two different lanthanide complexes (Tb and Eu) to quantum dots (QDs) with two different SiO2 shell thicknesses (6 and 12 nm) resulted in four distinct photoluminescence (PL) decays, which were encoded by simple time‐gated (TG) PL intensity detection in three individual temporal detection windows. The single‐nanoparticle codes were used for live cell imaging. |
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ISSN: | 1433-7851 1521-3773 1521-3773 |
DOI: | 10.1002/anie.201807585 |