Article

FreeTrace enables fractional Brownian motion-based single-molecule tracking and robust anomalous diffusion analysis

2026-01-09

Abstract excerpt

Single-molecule tracking (SMT) in live cells reveals how biomolecules explore crowded intracellular environments, yet most tracking software assumes Brownian motion, an approximation that fails when anomalous diffusion dominates. This leads to biased trajectory reconstruction and loss of biophysical information, particularly for the short trajectories typical of intracellular experiments. We present FreeTrace, an...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 9191c532-be8d-573f-bd93-e54c54c81f47
DOI: 10.64898/2026.01.08.698486

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

FreeTrace enables fractional Brownian motion-based single-molecule tracking and robust anomalous diffusion analysisDOI 10.64898/2026.01.08.698486Read

Cellular behavior analysis from live-cell imaging of TCR T cell–cancer cell interactionsSemantic proximity Read

Chromatin Dynamics are Highly Subdiffusive Across Seven Orders of MagnitudeSemantic proximity Read

Fast and Accurate Cell Tracking: a real-time cell segmentation and tracking algorithm to instantly export quantifiable cellular characteristics from large scale image dataSemantic proximity Read

Generating and navigating single cell dynamics via a geodesic bridge between nonlinear transcriptional and linear latent manifoldsSemantic proximity Read

TOGGLE Unveils Functional Heterogeneity and Epigenetic Memory in Single CellsSemantic proximity Read

A Cooperative Mechanism of Eukaryotic Transcription Factor Target SearchSemantic proximity Read

scDiffEq: drift-diffusion modeling of single-cell dynamics with neural stochastic differential equationsSemantic proximity Read

Fast and parallel nanoscale 3D tracking of heterogeneous mammalian chromatin dynamicsSemantic proximity Read

Pseudodynamics+: Reconstructing Population Dynamics from Time-Resolved Single Cell Landscapes with Physics Informed Neural NetworksSemantic proximity Read

DeLTA 2.0: A deep learning pipeline for quantifying single-cell spatial and temporal dynamicsSemantic proximity Read

Formation of correlated chromatin domains at nanoscale dynamic resolution during transcriptionSemantic proximity Read

SPtsAnalysis: a high-throughput super-resolution single particle trajectory analysis to reconstruct organelle dynamics and membrane re-organizationSemantic proximity Read