Smoothing

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Bioblasts - Richard Altmann and MiPArt by Odra Noel
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MitoPedia

Smoothing

Description

Various methods of smoothing can be applied to improve the signal-to-noise ratio. For instance, data points recorded over time [s] or over a range of wavelengths [nm] can be smoothed by averaging n data points per interval. Then the average of the n points per smoothing interval can be taken for each successively recorded data point across the time range or range of the spectrum to give a n-point moving average smoothing. This method decreases the noise of the signal, but clearly reduces the time or wavelength resolution. More advanced methods of smoothing are applied to retain a higher time resolution or wavelength resolution.


Reference: Press 1990 Computers in Physics


MitoPedia concepts: MitoFit Quality Control System 


MitoPedia methods: Respirometry, Fluorometry, Spectrophotometry 


MitoPedia O2k and high-resolution respirometry: DatLab 



Communicated by Harrison DK, 2011-11-25

DatLab oxygen flux: performance and data analysis

  • Recommendation: Set "Slope smoothing" to 20 for performing and analyzing experiments with biological sample (strongly recommended in the case of uncoupler titrations). A slope smoothing of 20 increases the time or wavelength resolution, but increases the noise of the signal.
The following DatLab traces illustrate an example of "Slope smoothing" using 20 versus 40 data points:
Slope smoothing 40
Slope smoothing 20