ArticleNature methods2024
BNP-Track: a framework for superresolved 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.
- Single Fluorogens and Orientation-Localization Microscopy for Quantifying Chemical and Biomolecular Dynamics at the Nanoscale.Accounts of chemical research · 2026Article
- Machine Learning in Single-Molecule Tracking Analysis of Superresolution Optical Microscopy Data.Cells · 2026Review
- Growth-rate analysis of clathrin assembly: inferring endocytic kinetics in living cells and tissues.Frontiers in molecular biosciences · 2026Review
- Avoiding subtraction and division of stochastic signals using normalizing flows: NFdeconvolve.iScience · 2025Article
- Perspective: An outlook on fluorescence tracking.The Journal of chemical physics · 2025Article
- Single-Photon Single-Particle Tracking.bioRxiv : the preprint server for biology · 2025Article
- Mamba time series forecasting with uncertainty quantification.Machine learning: science and technology · 2025Article
- Physics-Inspired Single-Particle Tracking Accelerated with Parallelism.bioRxiv : the preprint server for biology · 2025Article
- Simultaneous particle tracking, phase retrieval and point spread function reconstruction.bioRxiv : the preprint server for biology · 2025Article
- DiffMAP-GP: Continuous 2D diffusion maps from particle trajectories without data binning using Gaussian processes.Biophysical reports · 2025Article
- Learning Continuous 2D Diffusion Maps from Particle Trajectories without Data Binning.bioRxiv : the preprint server for biology · 2024Article
- Toward building comprehensive particle tracking tools with u-track 3D.Cell reports methods · 2023Article
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Authors and funding
6 authors.
Funding
Abstract
Superresolution tools, such as PALM and STORM, provide nanoscale localization accuracy by relying on rare photophysical events, limiting these methods to static samples. By contrast, here, we extend superresolution to dynamics without relying on photodynamics by simultaneously determining emitter numbers and their tracks (localization and linking) with the same localization accuracy per frame as widefield superresolution on immobilized emitters under similar imaging conditions (≈50 nm). We demonstrate our Bayesian nonparametric track (BNP-Track) framework on both in cellulo and synthetic data. BNP-Track develops a joint (posterior) distribution that learns and quantifies uncertainty over emitter numbers and their associated tracks propagated from shot noise, camera artifacts, pixelation, background and out-of-focus motion. In doing so, we integrate spatiotemporal information into our distribution, which is otherwise compromised by modularly determining emitter numbers and localizing and linking emitter positions across frames. For this reason, BNP-Track remains accurate in crowding regimens beyond those accessible to other single-particle tracking tools.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.