DiffusionEstimate¶
lumicks.pylake.kymotracker.detail.msd_estimation.DiffusionEstimate
- class DiffusionEstimate(value: float, std_err: float, num_lags: Optional[int], num_points: int, localization_variance: float, method: str, unit: str, _unit_label: str, variance_of_localization_variance: Optional[float] = None)¶
Diffusion estimate
- std_err¶
Standard error.
Note: While this provides some measure of uncertainty, the estimate should not be used for calculating the weighted mean of multiple tracks. This is to prevent complications such as bias due to correlations between the estimated parameters and estimated variances. Instead, when calculating the weighted mean of estimates from time series of different lengths, the length \(N\) of a time series should be used as weight, since it is known exactly.
- Type
- localization_variance¶
Estimated localization variance.
Note: It is possible to obtain negative estimates for the localization variance when estimating diffusion based on single tracks.
- Type