Improving tissue expansion protocols through computational modeling

Expansion Microscopy : Improving Imaging Through Uniform Tissue Expansion

Until the past decade, optical microscopy of biological specimens was strongly limited by diffraction and scattering, affecting imaging resolution and depth, respectively. Now, numerous methods are available to overcome each of these limitations, but sub-diffraction limited resolution imaging over large volumes of scattering tissue is still a challenge. This work concerns the development of a n...

Improving Roadmap Quality through Connected Component Expansion

Motion planning is the problem of computing valid paths through an environment. However, because computing exact solutions is intractable, sampling-based algorithms, such as Probabilistic RoadMaps (PRMs), have gained popularity. PRMs compute an approximate mapping of the planning space by sacrificing completeness in favor of efficiency. However, these algorithms have certain bottlenecks that hi...

Modeling Soccer-Robots Strategies Through Interaction Protocols

Modeling Nonstationary Processes Through Dimension Expansion

In this article, we propose a novel approach to modeling nonstationary spatial fields. The proposed method works by expanding the geographic plane over which these processes evolve into higher-dimensional spaces, transforming and clarifying complex patterns in the physical plane. By combining aspects of multidimensional scaling, group lasso, and latent variable models, a dimensionally sparse pr...

Computational Modeling of Tissue Self-assembly

As a theoretical framework for understanding the self-assembly of living cells into tissues, Steinberg proposed the differential adhesion hypothesis (DAH) according to which a specific cell type possesses a specific adhesion apparatus that combined with cell motility leads to cell assemblies of various cell types in the lowest adhesive energy state. Experimental and theoretical efforts of four ...