ArticleNature methods2025
Deep learning-assisted analysis of single-particle tracking for automated correlation between diffusion and function.
Article in Nature methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Sequence-defined polymers for predictable gene delivery.Nature reviews. Chemistry · 2026Review
- Intraluminal Gold Nanoparticle-Loaded Liposomes Enable High-Resolution Nanoscale Mapping of Intracellular Delivery Pathways.ACS applied nano materials · 2026Article
- Membrane bridges and nanodomain partitioning govern membrane protein targeting to lipid droplets.Nature cell biology · 2026Article
- Review of Machine Learning for Single-Particle Tracking: Methods, Challenges, and Biophysical Insights.Chemical & biomedical imaging · 2026Review
- 3D Single-Virus Tracking: Advances in Methodology and Labeling Strategies Towards Probing the Virus-Epithelium Interaction.Viruses · 2026Review
- DeepTRACE brings flexible machine learning to single-molecule track analysis.Communications biology · 2026Article
- Machine Learning in Single-Molecule Tracking Analysis of Superresolution Optical Microscopy Data.Cells · 2026Review
- Diverse intracellular trafficking of insulin analogs by machine learning-based colocalization and diffusion analysis.iScience · 2026Article
- Bacteriophage-Mimetic DNA Origami Needle for Targeted Membrane Penetration and Cytosolic Cargo Delivery.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- From microfluidics to nanodelivery: artificial intelligence reshapes neuropharmacology research strategies.Frontiers in pharmacology · 2026Review
- Fuel-Free Rolosense: Viral Sensing Using Diffusional Particle Tracking.ACS sensors · 2025Article
- Deep learning in chromatin organization: from super-resolution microscopy to clinical applications.Cellular and molecular life sciences : CMLS · 2025Review
- DiffMAP-GP: Continuous 2D diffusion maps from particle trajectories without data binning using Gaussian processes.Biophysical reports · 2025Article
- ThirdPeak is a flexible tool designed for the robust analysis of two- and three-dimensional tracking data.Communications biology · 2024Article
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11 authors.
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Abstract
Subcellular diffusion in living systems reflects cellular processes and interactions. Recent advances in optical microscopy allow the tracking of this nanoscale diffusion of individual objects with unprecedented precision. However, the agnostic and automated extraction of functional information from the diffusion of molecules and organelles within the subcellular environment is labor intensive and poses a significant challenge. Here we introduce DeepSPT, a deep learning framework integrated in an analysis software, to interpret the diffusional two- or three-dimensional temporal behavior of objects in a rapid and efficient manner, agnostically. Demonstrating its versatility, we have applied DeepSPT to automated mapping of the early events of viral infections, identifying endosomal organelles, clathrin-coated pits and vesicles among others with F1 scores of 81%, 82% and 95%, respectively, and within seconds instead of weeks. The fact that DeepSPT effectively extracts biological information from diffusion alone illustrates that besides structure, motion encodes function at the molecular and subcellular level.
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