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Updated: Apr 6, 2026

Förster Resonance Energy Transfer Mapping: A New Methodology to Elucidate Global Structural Features
Published on: March 16, 2022
Concentric Förster resonance energy transfer imaging
1Department of Chemistry, University of British Columbia, 2036 Main Mall, Vancouver, British Columbia V6T 1Z1, Canada.
We developed a new imaging method for concentric Förster resonance energy transfer (cFRET) probes using semiconductor quantum dots (QDs). This technique enables quantitative, ratiometric detection of protease activity with high spatiotemporal resolution for biological sensing applications.
Area of Science:
- Biotechnology
- Nanotechnology
- Analytical Chemistry
Background:
- Concentric Förster resonance energy transfer (cFRET) probes utilize semiconductor quantum dots (QDs) for multiplexed biological sensing.
- Robust ratiometric detection is achieved through a network of FRET pathways within a single vector.
- Developing and validating cFRET imaging methodology is crucial for expanding probe utility.
Purpose of the Study:
- To present and validate a novel cFRET imaging methodology.
- To enable quantitative measurement of proteolytic activity using cFRET probes.
- To demonstrate the spatiotemporal resolution of the developed imaging technique.
Main Methods:
- A protease-sensitive cFRET configuration was designed using a green-emitting QD, Alexa Fluor 555 (A555), and Alexa Fluor 647 (A647).
- Photoluminescence (PL) images were acquired using three filter-based emission channels to measure A555/QD and A647/QD PL ratios.
- Quantitative progress curves for proteolytic activity were calculated from PL ratios using calibration samples.
Main Results:
- The imaging methodology accurately reproduced quantitative results obtained with a monochromator-based fluorescence plate reader.
- Spatiotemporal resolution was demonstrated by tracking protease diffusion in a capillary.
- The method allows for precise measurement of proteolytic activity in specific regions of interest.
Conclusions:
- The developed cFRET imaging methodology provides a robust platform for quantitative biological sensing.
- This technique offers high spatiotemporal resolution for tracking enzymatic activity.
- The methodology is expected to facilitate future cellular sensing and advanced imaging assays using cFRET probes.
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