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Diffusion MSD Local Slope

Estimate a local diffusion coefficient from an explicit MSD-versus-time secant under the Brownian relation MSD = 2dDt; a negative secant remains visible.

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Description

Calculate a two-point MSD slope and a conditional diffusion-model term.

Biophysical scalar models require explicit signal, concentration, temperature, energy and geometric conventions. Effective concentration differs from dimensionless activity, a single displacement differs from mean-square displacement, and a fluorescence yield ratio needs absorption and refractive-index corrections. Supplied model parameters do not establish that the model applies to an experiment.

Calculate a two-point MSD slope and a conditional diffusion-model term.

When to use this tool

Use Diffusion MSD Local Slope when you already have firstTime, secondTime, firstMsd, secondMsd, dimensions and need to calculate a two-point MSD slope and a conditional diffusion-model term.

How to use the tool and how it works

  1. Enter firstTime, secondTime, firstMsd, secondMsd, dimensions. Use the units and conventions below.
  2. Run the tool. Correct any format, range, or cross-field input error before interpreting the output.
  3. Read msdSlope, diffusionEstimate. Use the output convention below.

Require secondTime>firstTime, nonnegative MSD values and whole dimensions 1..3; slope=(secondMSD-firstMSD)/(secondTime-firstTime), estimate=slope/(2*dimensions).1

Input fieldMeaning and unitsAccepted input
firstTimeFirst TimeRequired. Finite number.
secondTimeSecond TimeRequired. Finite number.
firstMsdFirst MsdRequired. Finite number; minimum 0.
secondMsdSecond MsdRequired. Finite number; minimum 0.
dimensionsDimensionsRequired. Safe integer; minimum 1; maximum 3.
Output fieldInterpretationReturned shape
msdSlopeMsd SlopeRequired. Finite number.
diffusionEstimate(secondMsd-firstMsd)/(secondTime-firstTime)/(2*dimensions); a local normal-isotropic-diffusion interpretation, retaining negative slopes.Required. Finite number.
json
{
  "input": {
    "firstTime": 1,
    "secondTime": 3,
    "firstMsd": 4,
    "secondMsd": 12,
    "dimensions": 2
  },
  "output": {
    "msdSlope": 4,
    "diffusionEstimate": 1
  }
}

Limitations and assumptions

  • Negative slopes and diffusion estimates are retained. This assumes a linear isotropic normal-diffusion MSD relation; no trajectory, ensemble average, valid regime, fit or physical diffusion coefficient is established.
  • Inputs must satisfy both the field types and the cross-field conditions above. Invalid input causes an error; a successful false flag or documented placeholder is a different result.
  • Numeric calculations use binary floating point unless exact decimal-integer arithmetic is explicitly stated. No hidden measurement tolerance or decimal rounding is added; nonfinite or out-of-contract results are rejected. Numeric signed-zero results are exported as zero.

Alternative or Complementary methods

Use the complete physical model, calibrated measurements and uncertainty analysis. Check reference states, photon-signal bases, diffusion assumptions and binding-constant conventions before interpreting local contributions as physical measurements.

References

  1. Calculation and input contract: biophysics/diffusion-msd-local-slope — tool.io

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