Fluorescence lifetime: decay ↔ phasor
Fluorescence lifetime imaging records, at every pixel, how long molecules stay excited before they emit. That record can be read as a decay curve or as a single point on a phasor plot. This page puts the two side by side so you can see how one becomes the other.
Drag the sliders, or drag the points on the phasor plot. Everything updates as you move.
An idealized model. Two exponential components, an infinitely short laser pulse and perfect calibration. Real measurements also include the instrument response (IRF); phasor analysis removes it by calibrating against a reference dye of known lifetime.
1Two lifetimes, one phasor
Why phasors: each pixel's decay becomes one point, and mixtures follow simple geometry. A single-exponential decay always lands on the semicircle, sliding from (1, 0) toward the origin as the lifetime grows. A mix of two lifetimes lands on the straight line between them, and where it sits along that line is the fraction of photons from each: the lever rule.
- τ₁ component
- τ₂ component
- Total
- Light from earlier pulses
- τ₁ alone
- τ₂ alone
- Mixture
- Reading τφ and τm
- Phasor (g, s)
- Phase lifetime τφ
- Modulation lifetime τm
- Intensity-weighted mean
- Amplitude-weighted mean
- Amplitude fraction of τ₁
- Light from earlier pulses
Try: move "Photons from τ₁" to 100%. The point jumps onto the semicircle and the phase and modulation lifetimes agree. Anywhere in between, the phase lifetime is the shorter of the two. Compare both with the two mean lifetimes in the table: for a mixture, "the lifetime" depends on which definition you report.
2The laser sets the ruler
Why the repetition rate matters: the phasor is computed at the laser's modulation frequency, and that frequency decides which lifetimes the semicircle spreads out. Phase changes fastest with lifetime where ωτ = 1, about 2 ns at 80 MHz. Much shorter or much longer lifetimes crowd together at the ends of the semicircle. Higher harmonics move that sweet spot to shorter lifetimes.
Long lifetimes also leave light behind when the next pulse arrives. The phasor already includes that light because it is computed over the repeating signal; a fit that assumes each decay ends inside the window does not.
- Decay from each pulse
- What the detector sees
- Your lifetime
- Reference lifetimes
- Phase changes at least half as fast as at ωτ = 1
- Angular frequency ω
- Laser period
- ωτ
- Lifetime at ωτ = 1
- Most sensitive range
- Light carried into the next period
Try: set τ to 12 ns at 80 MHz, then lower the repetition rate to 20 MHz. The leftover light drops and the point moves back toward the middle of the arc.
3Photons, noise and background
Why photon counts matter: each pixel's phasor is estimated from a limited number of photons, so real pixels scatter around the true point. The scatter shrinks with the square root of the photon count: four times the photons, half the spread. Uncorrelated background, such as detector dark counts or room light, adds photons that carry no timing. It pulls every phasor straight toward the origin, which leaves the phase lifetime unchanged but makes the modulation lifetime longer.
This section uses the sample from section 1:
- Photons in this pixel
- Expected counts
- Pixels
- Average of pixels
- Expected
- Expected without background
- τφ expected
- τφ across pixels (middle 50%)
- τm expected
- τm across pixels (middle 50%)
- Effect of background
Try: drop to 50 photons per pixel, then add 20% background. Compare how the phase and modulation lifetimes react.
Going further
- Digman MA, Caiolfa VR, Zamai M, Gratton E. The phasor approach to fluorescence lifetime imaging analysis. Biophys J 94, L14–L16 (2008).
- Redford GI, Clegg RM. Polar plot representation for frequency-domain analysis of fluorescence lifetimes. J Fluoresc 15, 805–815 (2005).
- Stringari C, et al. Phasor approach to fluorescence lifetime microscopy distinguishes different metabolic states of germ cells in a live tissue. PNAS 108, 13582–13587 (2011).
- PhasorPy, an open-source Python library for phasor analysis of lifetime and spectral images.