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QuanTI-FRET

QuanTI-FRET

Quantitative Three-Image FRET

Unbiased FRET from any fluorescence microscope

GraphicalAbstract

The QuanTI-FRET software

The QuanTI-FRET method proposes calibrating the instrument and the FRET pair to simply calculate absolute FRET probabilities from triplet of images acquired under the same conditions and with the same FRET pair. All the photophysical and instrumental factors are included in this calibration, leaving the variability of the results to biological origins.
The main contribution of the QuanTI-FRET method has been the single-step calibration of the two correction factors based on the batching of millions of pixels, thus fully taking advantage of the statistics of the imaged pixels and making this calibration method extremely robust.

GeneralScheme

Simpler and faster with autocalibration

The QuanTI-FRET has been reworked to allow a direct autocalibration from the images of interest! It is now possible to avoid the preparation and imaging of FRET standards. We demonstrated this idea with intramolecular FRET biosensors imaged in living cells with a relatively low fluorescence signal. This autocalibration is possible because of the strong robustness of the QuanTIFRET calibration with respect to the quality of the calibration dataset.
To make quantitative FRET measurement accessible to all laboratories with no coding expertise, we have prepared a standalone in Python (GUI and CLI) and a plug-in for the Napari viewer. The code is open-source and made publicly available, don't hesitate to contribute directly or through feedbacks.

QuanTI-FRET Documentation
QuanTI-FRET Napari plug-in
QuanTI-FRET Git

Authorship and citation

"QuanTI-FRET: a framework for quantitative FRET measurements in living cells." A Coullomb, CM Bidan, C Qian, F Wehnekamp, C Oddou, C Albiges-Rizo, DC Lamb et A Dupont. Scientific Reports 10 (1), 1-11 (2020)

"Live-cell quantitative FRET imaging made simple by autocalibration in QuanTI-FRET." J Leblanc, AH Lombard, A Saumureau, S Costrel, J Revilloud, A Coullomb et A Dupont. The European Physical Journal E 48:74 (2025).

Co-authors of the code: Alexis Coullomb, Adrien Saumureau and Aurélie Dupont.