Flux analysis - DatLab

From Bioblast
Revision as of 13:11, 1 February 2019 by Gnaiger Erich (talk | contribs) (Created page with "{{MitoPedia |description=The strategy of '''DatLab Flux analysis''' depends on the research question and the corresponding settings applied in DatLab when recording the data....")
(diff) ← Older revision | Latest revision (diff) | Newer revision β†’ (diff)


high-resolution terminology - matching measurements at high-resolution


Flux analysis - DatLab

Description

The strategy of DatLab Flux analysis depends on the research question and the corresponding settings applied in DatLab when recording the data. Frequently a sequence of respiratory steady-states is measured, marks are set, and numerical data are summarized in Mark statistics (F2). An AI approach is kept in mind when describing guidelines for evaluation of steady-states during data recording and data analysis.


Reference: MitoPedia: DatLab


MitoPedia O2k and high-resolution respirometry: DatLab 

Step analysis and state analysis

In a SUIT protocol each titration can be considered as a transition bewtween a background state and a reference state, expressed as a flux control factor, FCF. An ideal sequence of steady-state states can be analysed in terms of flux control ratios, FCR, corrected for a common baseline, and normalized for flux in a common reference state. If a steady-state (constant) flux is not reached between sequential respiratory states induced by titrations, some corrections for dynamic changes of flux may be applied, or the conditions for steady-state analysis break down. In such cases, step analysis with continuous evaluation of a change of flux (second time derivative) may provide the only reliable information. In reality some noise or bias is included in steady-state analysis above a threshold level, below which such data sets would be excluded from state-analysis.
Cookies help us deliver our services. By using our services, you agree to our use of cookies.