Bottlebrush Bridge between Soft Gels and Firm Tissues

A “bridge" of carbon between nerve tissues

Elasticity Models for the Spherical Indentation of Gels and Soft Biological Tissues

AFM microor nanoindentation is a powerful technique for mapping the elasticity of materials at high resolution. When applied to soft matter, however, its accuracy is equivocal. The sources of the uncertainty can be methodological or analytical in nature. In this paper, we address the lack of practicable nonlinear elastic contact models, which frequently compels the use of Hertzian models in ana...

Multiscale Characterization of Relaxation times of Tissue Surrogate Gels and Soft Tissues

The development of tissue surrogate materials that can replicate the mechanical response of biological soft tissues is of increasing interest. Such materials are required to enable robust experimental capabilities for evaluating next-generation armor systems that are critical to the survivability of the Soldier with regard to mechanical impact forces, including small caliber projectiles, fragme...

Formation of spatially and geometrically controlled three-dimensional tissues in soft gels by sacrificial micromolding.

Patterned three-dimensional (3D) cell culture models aim to more accurately represent the in vivo architecture of a tissue for the purposes of testing drugs, studying multicellular biology, or engineering functional tissues. However, patterning 3D multicellular structures within very soft hydrogels (<500 Pa) that mimic the physicochemical environment of many tissues remains a challenge for exis...

Consistent Classification, Firm and Soft

A classifier is called consistent with respect to a given set of classlabeled points if it correctly classifies the set. We consider classifiers defined by unions of local separators and propose algorithms for consistent classifier reduction. The expected complexities of the proposed algorithms are derived along with the expected classifier sizes. In particular, the proposed approach yields a c...