Error Propagation with Log2 Concentration: Fluorescence Measurement

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Discussion Overview

The discussion revolves around error propagation in fluorescence measurements reported as a function of log2 concentration. Participants explore how to handle error calculations when transitioning between linear and logarithmic representations of concentration, particularly in the context of interpolating values and computing metrics such as percent difference.

Discussion Character

  • Technical explanation
  • Mathematical reasoning
  • Debate/contested

Main Points Raised

  • One participant inquires about the appropriate method for error propagation calculations when using log2 versus linear measurements of concentration.
  • Another participant suggests that the choice of measurement (log2 or linear) should dictate how uncertainty is reported and calculated.
  • A participant expresses confusion regarding the differing results of percent difference calculations when using linear versus log2 values, questioning why the percentages are not equivalent.
  • One response introduces the concept that non-constant functions do not preserve ratios, implying that this may explain the discrepancy in percent differences calculated in different bases.

Areas of Agreement / Disagreement

Participants generally agree on the importance of consistency in reporting measurements and uncertainties. However, there is a lack of consensus on the implications of using different bases for calculating metrics like percent difference, as evidenced by the differing results presented.

Contextual Notes

The discussion highlights the complexities involved in error propagation and metric calculations when transitioning between linear and logarithmic scales, with specific examples provided that illustrate these challenges.

PhysicsInquirer
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Hi there,

I have a quick question to report some numbers on an experiment. I made measurements of fluorescence in a titration of a chemical. The titrations were 1:2 serial dilutions so I report each fluorescence as a function of the log2 concentration:

concentration chemical x: 1 , 0.5, 0.25
reported concentration chemical x (log2): 0, -1,-2
fluorescence measurement: 5, 10, 25

I’m interested in reporting the concentrations of a chemical that lead to a specific fluorescence. So, let’s say I want to report when the fluorescence reaches 10, in this case that would be -1.

So keeping that in mind: When I make error propagation calculations should I use the log2 or the linear measurements?

Sometimes I need to interpolate to get the reported concentrations. For instance, when I want to get the concentration that leads to fluorescence 15. Does that change anything for the calculations?
 
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Welcome to the forum.

It depends on context.

Generically, you should report what you measured, and the error in your measurement. If you measured x then you should report x and the error in x. If you measured log2 of x, then you should report log2 of x and the error in log2 of x.

If you are calculating something based on the concentration, then if you are using x in the calculation you should use the uncertainty in x. If you are using log2 of x in the calculation, then you should use the error in log2 of x.

Does this help?
 
Thanks for your reply. So if I understand correctly, as long as I don't mix logs and linear measurements I should be all set for what I'm reporting.

I'm still a confused though when I want to compute different metrics, like the error propagation or the percent difference ( i.e. , difference/average)

So for instance if I have the following replicate measurements and I want to compute the percent difference:

Replicate 1: 0.0625
Replicate 2: 0.0725

Replicate 1 in log2: -4
Replicate 2 in log2: -3.7859Percent difference in linear: (0.0725-0.0625) / ( (0.0725+0.0625)/2)=
=0.1481
=14.8%

Percent difference in log2: abs(-4-(-3.7859))/((-4+-3.7859)/2)
=0.0550
=5.5%

Why are these two numbers different when I'm reporting a percentage? Shouldn't this percentage be the same since I'm only changing the base but not the values of the measurements?

Thanks again!
 
Non-constant functions do not, in general, preserve ratios, e.g., : ## \sqrt {\frac {81}{4}}=4.5 \neq \frac {81}{4}=20.25 ##. I think this has to see with the derivative of these functions not being constant, i.e., only when the function ##f ##, as below, is linear.

Basically, few functions preserve ratios, i.e., few functions satisfy:

## \frac {a}{b}=\frac {f(a)}{f(b)} ####
 
Last edited:
Oh yes, this makes a lot of sense. Thank you WWGD
 

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