ArticleNature methods2024
Temporal analysis of relative distances (TARDIS) is a robust, parameter-free alternative to single-particle tracking.
Article in Nature methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Quantitative Analysis of Cytoplasmic Viscosity in Colorectal Cancer Cells by Differential Dynamic Microscopy of Genetically Encoded Nanoparticles.Chemical & biomedical imaging · 2026Article
- Extracting anomalous diffusion parameters from multi-state ensembles of short single molecule trajectories.bioRxiv : the preprint server for biology · 2026Article
- A conserved oscillatory system that positions the divisome in Archaea.bioRxiv : the preprint server for biology · 2026Article
- FidlTrack: high-fidelity structure-aware single particle tracking resolves intracellular molecular motion in organelles sensing APP processing.Nature communications · 2026Article
- Article
- Revealing plasma membrane protein dynamics in living plant cells with single-molecule tracking.Journal of experimental botany · 2025Article
- A methodology to reduce the localization error in multi-loci microscopy provides new insights into enhancer biology.PLoS computational biology · 2025Article
- Deep learning-assisted analysis of single-particle tracking for automated correlation between diffusion and function.Nature methods · 2025Article
- ThirdPeak is a flexible tool designed for the robust analysis of two- and three-dimensional tracking data.Communications biology · 2024Article
- BNP-Track: a framework for superresolved tracking.Nature methods · 2024Article
- Robust Quantification of Live-Cell Single-Molecule Tracking Data for Fluorophores with Different Photophysical Properties.The journal of physical chemistry. B · 2024Article
- What's in a method name?Nature methods · 2024Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
In single-particle tracking, individual particles are localized and tracked over time to probe their diffusion and molecular interactions. Temporal crossing of trajectories, blinking particles, and false-positive localizations present computational challenges that have remained difficult to overcome. Here we introduce a robust, parameter-free alternative to single-particle tracking: temporal analysis of relative distances (TARDIS). In TARDIS, an all-to-all distance analysis between localizations is performed with increasing temporal shifts. These pairwise distances represent either intraparticle distances originating from the same particle, or interparticle distances originating from unrelated particles, and are fitted analytically to obtain quantitative measures on particle dynamics. We showcase that TARDIS outperforms tracking algorithms, benchmarked on simulated and experimental data of varying complexity. We further show that TARDIS performs accurately in complex conditions characterized by high particle density, strong emitter blinking or false-positive localizations, and is in fact limited by the capabilities of localization algorithms. TARDIS' robustness enables fivefold shorter measurements without loss of information.
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