Quantitative mapping of dynamic 3D transport in growing cells via volumetric spatio-temporal image correlation spectroscopy (vSTICS)
Ahmad Mahmood, Paul W. Wiseman

TL;DR
vSTICS is a novel volumetric imaging analysis method that quantitatively maps 3D intracellular transport, diffusion, and density in living cells, validated through simulations and experiments on pollen tube mitochondria.
Contribution
The paper introduces vSTICS, a new framework for voxel-resolved 3D flow and diffusion mapping in crowded living cells, overcoming limitations of existing planar and noisy volumetric microscopy analysis.
Findings
Accurate recovery of flow velocities near 3 μm/s and diffusion coefficients around 10^{-3} μm^2/s in simulations.
Verified particle densities and diffusion in gel match imaging-FCS measurements.
Resolved bidirectional mitochondrial transport patterns and density distributions in pollen tubes.
Abstract
Quantitatively mapping three-dimensional (3D) flow, diffusion, and particle density in crowded living cells remains challenging because most dynamic optical microscopy measurements are effectively planar and existing analysis methods struggle with dense, noisy volumetric data. We introduce volumetric spatio-temporal image correlation spectroscopy (vSTICS), a framework that recovers voxel-resolved flow, diffusion coefficients, and particle densities from 3D fluorescence time series. Growing Camellia japonica pollen tubes were imaged with field-synthesis lattice light-sheet microscopy, and localized 3D spatio-temporal correlation analysis was applied to overlapping volumetric samples to generate maps of velocity, diffusion, and density. Validation with synthetic flow-diffusion simulations showed accurate recovery of seeded transport parameters, including velocities near m…
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