Sentence examples for lifetime fitting from inspiring English sources

Our baseline measurements consisted of multi-exponential lifetime fitting at each pixel using fluorescence profiles consisting of approximately 5000 photons.

Multi-exponential fluorescence lifetime fitting requires higher photon count per particle due to increased parameter uncertainty, which could be achieved by extending the particle dwell time by decreasing the flow rate or enlarge the illumination volume, either of which would reduce the device throughput.

Lifetime fitting, spectral analysis and display were performed in MATLAB (Mathworks, Natick, MA).

Analysis of lifetime data was conducted using an in-house lifetime fitting software as described above.

Deeper understanding of the underlying photophysics could be potentially acquired through the application of global fluorescence lifetime fitting routines (69, 85).

The average fluorescent lifetime for each burst was calculated using a Bayesian algorithm or Levenberg Marquardt bi-exponential global analysis algorithm in the TRI2 fluorescence lifetime fitting software (69, 70) (Fig. 1d).

For our baseline in vivo measurements, we performed rough multi-exponential lifetime fits with high spatial resolution.

We therefore consider 5000 as the minimum number of photons required to perform our multiple-component lifetime fits, containing 2 constrained lifetimes and 2 free lifetimes.

We consider 5000 to be the minimum number of photons required to perform rough lifetime fits using our method of constraining the first 2 of 4 lifetime values.

We regard this value as the approximate minimum number of photons required to perform our multiple-component lifetime fits, containing 2 constrained lifetimes and 2 free lifetimes and described in Subsections 2.3 and 3.2, at each pixel [ 30].

For our measurements of in vivo metabolic transients, we performed precise multi-exponential lifetime fits with lower spatial resolution, a suitable approach for investigating global phenomena such as anoxia.