The key mathematical step is to relate a probe’s mean-square displacement to its mechanical response through the fluctuation-dissipation theorem. This connection converts observed thermal fluctuations into a frequency-dependent complex modulus, rather than a single viscosity value. The result describes how the surrounding material stores and dissipates mechanical response across different time or frequency scales.
Passive microrheology uses spontaneous thermal motion of a probe, whereas active microrheology uses a measured response to an imposed perturbation. Both approaches can connect probe behavior with viscoelastic properties, but they obtain the relevant information from different observables: natural fluctuations in the passive case and a response function in the active case.
A complex modulus captures the time-dependent mechanical behavior of a viscoelastic material. Its frequency dependence allows the analysis to distinguish responses that change with the timescale of observation, while its complex form represents the material’s mechanical response beyond a single viscosity value. This makes the framework suitable for media whose properties vary across timescales.
The fluctuation-dissipation connection is applied under linear-response conditions, where the measured response remains appropriate for relating fluctuations or perturbations to material properties. If the relevant response does not satisfy that condition, the inferred modulus may not represent the intended viscoelastic behavior. Maintaining this framework is therefore important when interpreting microrheology measurements.
A study can use a probe particle’s mean-square displacement or its response function as the central measurement. Passive measurements analyze thermal motion, while active measurements examine the response produced by a perturbation. These observables are then used within the generalized relation to infer a frequency-dependent complex modulus for the surrounding material.
In bioengineering, the approach can characterize cytoplasm, extracellular matrices, hydrogels, and biomolecular assemblies. It is especially useful when researchers need local mechanical information while minimizing disruption to the sample. Comparing probe motion with inferred material properties can help examine how structure and mechanics influence transport, cell behavior, or therapeutic material design.
The analysis provides local estimates of viscoelastic properties from probe behavior, including information represented by a frequency-dependent complex modulus. Those measurements can connect material mechanics with transport and biological function. In engineered or biological systems, this supports comparisons of how different structures influence local mechanical environments and helps inform the design of therapeutic materials.