ArticleScientific reports2018
Rapid, topology-based particle tracking for high-resolution measurements of large complex 3D motion fields.
Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
15 citing papers in PubMed.
- Digital Volume Correlation Challenge 2.0: A Comprehensive Dataset for Digital Volume Correlation Benchmarking.Research square · 2026Article
- Article
- Identification of CD44 as a key engager to hyaluronic acid-rich extracellular matrices for cell traction force generation and tumor invasion in 3D.Matrix biology : journal of the International Society for Matrix Biology · 2025Article
- 3D Traction Force Microscopy in Biological Gels: From Single Cells to Multicellular Spheroids.Annual review of biomedical engineering · 2024Review
- Microinterfaces in biopolymer-based bicontinuous hydrogels guide rapid 3D cell migration.Nature communications · 2024Article
- Mechanosensitive traction force generation is regulated by the neutrophil activation state.Scientific reports · 2023Article
- Local response and emerging nonlinear elastic length scale in biopolymer matrices.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Estimation of the Deformation Gradient Tensor by Particle Tracking Near a Free Boundary with Quantified Error.Experimental mechanics · 2023Article
- Extending resolution within a single imaging frame.Nature communications · 2022Article
- Reciprocity of Cell Mechanics with Extracellular Stimuli: Emerging Opportunities for Translational Medicine.Small (Weinheim an der Bergstrasse, Germany) · 2022Review
- Particle retracking algorithm capable of quantifying large, local matrix deformation for traction force microscopy.PloS one · 2022Article
- Epifluorescence-based three-dimensional traction force microscopy.Scientific reports · 2020Article
- Mechanophenotyping of 3D multicellular clusters using displacement arrays of rendered tractions.Proceedings of the National Academy of Sciences of the United States of America · 2020Article
- Modular approach for resolving and mapping complex neural and other cellular structures and their associated deformation fields in three dimensions.Nature protocols · 2018Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Spatiotemporal tracking of tracer particles or objects of interest can reveal localized behaviors in biological and physical systems. However, existing tracking algorithms are most effective for relatively low numbers of particles that undergo displacements smaller than their typical interparticle separation distance. Here, we demonstrate a single particle tracking algorithm to reconstruct large complex motion fields with large particle numbers, orders of magnitude larger than previously tractably resolvable, thus opening the door for attaining very high Nyquist spatial frequency motion recovery in the images. Our key innovations are feature vectors that encode nearest neighbor positions, a rigorous outlier removal scheme, and an iterative deformation warping scheme. We test this technique for its accuracy and computational efficacy using synthetically and experimentally generated 3D particle images, including non-affine deformation fields in soft materials, complex fluid flows, and cell-generated deformations. We augment this algorithm with additional particle information (e.g., color, size, or shape) to further enhance tracking accuracy for high gradient and large displacement fields. These applications demonstrate that this versatile technique can rapidly track unprecedented numbers of particles to resolve large and complex motion fields in 2D and 3D images, particularly when spatial correlations exist.
Indexed as
Identifiers
What OpenQuestion holds
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.