PreprintCC BY-NCbioRxiv
AnDi-J: diffusion analysis of single-particle tracking data in Fiji
Abstract
Characterizing how particles diffuse is key to understanding biology across scales, yet extracting the underlying physical properties typically requires specialized tools rarely accessible to biology labs. Here we introduce AnDi-J, a Fiji plugin combining classical estimators with state-of-the-art machine learning for single-trajectory analysis and segmentation, requiring minimal knowledge of stochastic processes. It extracts diffusion coefficients and anomalous exponents, classifies trajectories into diffusion models, and segments heterogeneous trajectories into diffusive states, through powerful, easy-to-use visualization tools. See more at https://github.com/gorkamunoz/andi-j .
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BibTeX
@misc{munozgil2026andij,
title = {{AnDi-J: diffusion analysis of single-particle tracking data in Fiji}},
author = {G. Munoz-Gil},
howpublished = {bioRxiv},
year = {2026},
month = oct,
doi = {10.64898/2026.10.14.756868},
url = {https://www.biorxiv.org/content/10.64898/2026.10.14.756868v1},
note = {CC BY-NC},
}
RIS
TY - UNPB
TI - AnDi-J: diffusion analysis of single-particle tracking data in Fiji
AU - G. Munoz-Gil
PY - 2026
DA - 2026/10/14
PB - bioRxiv
DO - 10.64898/2026.10.14.756868
UR - https://www.biorxiv.org/content/10.64898/2026.10.14.756868v1
AB - Characterizing how particles diffuse is key to understanding biology across scales, yet extracting the underlying physical properties typically requires specialized tools rarely accessible to biology labs. Here we introduce AnDi-J, a Fiji plugin combining classical estimators with state-of-the-art machine learning for single-trajectory analysis and segmentation, requiring minimal knowledge of stochastic processes. It extracts diffusion coefficients and anomalous exponents, classifies trajectories into diffusion models, and segments heterogeneous trajectories into diffusive states, through powerful, easy-to-use visualization tools. See more at https://github.com/gorkamunoz/andi-j .
ER -