scholarly journals Multiple Particle Tracking Detects Changes in Brain Extracellular Matrix and Predicts Neurodevelopmental Age

ACS Nano ◽  
2021 ◽  
Author(s):  
Michael McKenna ◽  
David Shackelford ◽  
Hugo Ferreira Pontes ◽  
Brendan Ball ◽  
Elizabeth Nance
Keyword(s):  
Extracellular Matrix ◽  
Particle Tracking ◽  
Multiple Particle Tracking ◽  
Multiple Particle ◽  
Brain Extracellular Matrix

scholarly journals Multiple particle tracking detects changes in brain extracellular matrix structure and predicts neurodevelopmental age

2020 ◽  
Author(s):  
Michael McKenna ◽  
David Shackelford ◽  
Hugo Ferreira Pontes ◽  
Brendan Ball ◽  
Tora Gao ◽  
...  
Keyword(s):  
Extracellular Matrix ◽  
Particle Tracking ◽  
Structural Changes ◽  
Brain Slices ◽  
Gradient Boosting ◽  
Extreme Gradient Boosting ◽  
Multiple Particle Tracking ◽  
Complex Features ◽  
Multiple Particle ◽  
Brain Extracellular Matrix

Abstract SummaryBrain extracellular matrix (ECM) structure mediates many aspects of neuronal function. Probing changes in ECM structure could provide insights into aging and neurological disease. Herein, we demonstrate the ability to characterize changes in brain ECM structure using multiple particle tracking (MPT). MPT was carried out in organotypic rat brain slices to detect induced and naturally occurring changes in ECM structure. Induced degradation of neural ECM led to a significant increase in nanoparticle diffusive ability in the brain extracellular space. For structural changes that occur naturally during development, an inverse relationship existed between age and nanoparticle diffusion. Using the age-dependent dataset, we applied extreme gradient boosting (XGBoost) to generate models capable of classifying nanoparticle trajectories. Collectively, this work demonstrates the utility of MPT combined with machine learning for measuring changes in brain ECM structure and predicting associated complex features such as developmental age.

Multiple particle tracking

2018 ◽  
Author(s):  
Eric M. Furst ◽  
Todd M. Squires
Keyword(s):  
Brownian Motion ◽  
Best Practices ◽  
Particle Tracking ◽  
Heterogeneous Material ◽  
Quantitative Measurements ◽  
Particle Tracking Microrheology ◽  
Shell Models ◽  
Multiple Particle Tracking ◽  
Microscopy Data ◽  
Multiple Particle

The fundamentals and best practices of multiple particle tracking microrheology are discussed, including methods for producing video microscopy data, analyzing data to obtain mean-squared displacements and displacement correlations, and, critically, the accuracy and errors (static and dynamic) associated with particle tracking. Applications presented include two-point microrheology, methods for characterizing heterogeneous material rheology, and shell models of local (non-continuum) heterogeneity. Particle tracking has a long history. The earliest descriptions of Brownian motion relied on precise observations, and later quantitative measurements, using light microscopy.

scholarly journals Multiple Particle Tracking (MPT) Measurements of Heterogeneities in Acrylic Thickener Solutions

2008 ◽  
Author(s):  
C. Oelschlaeger ◽  
N. Willenbacher ◽  
S. Neser ◽  
Albert Co ◽  
Gary L. Leal ◽  
...  
Keyword(s):  
Particle Tracking ◽  
Multiple Particle Tracking ◽  
Multiple Particle

scholarly journals Microrheology imaging of fiber suspensions – a case study for lyophilized collagen I in HCl solutions

Soft Matter ◽  
2020 ◽  
Vol 16 (39) ◽  
pp. 9014-9027
Author(s):  
Johanna Hafner ◽  
Claude Oelschlaeger ◽  
Norbert Willenbacher
Keyword(s):  
Network Structure ◽  
Particle Tracking ◽  
Collagen I ◽  
Fiber Suspensions ◽  
Direct Visualization ◽  
Multiple Particle Tracking ◽  
Conventional Microscopy ◽  
Multiple Particle

Where conventional microscopy fails, overlaying subsequent images of multiple particle tracking (MPT) videos including short trajectories allowed for direct visualization of the network structure of lyophilized collagen I.

scholarly journals Multiple particle tracking analysis in isolated nuclei reveals the mechanical phenotype of leukemia cells

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Diego Herráez-Aguilar ◽  
Elena Madrazo ◽  
Horacio López-Menéndez ◽  
Manuel Ramírez ◽  
Francisco Monroy ◽  
...  
Keyword(s):  
Particle Tracking ◽  
Leukemia Cells ◽  
Isolated Nuclei ◽  
Multiple Particle Tracking ◽  
Multiple Particle
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