Sentence examples for soft samples from inspiring English sources

Particle tracking passive microrheology relates recorded trajectories of microbeads, embedded in soft samples, to the local mechanical properties of the sample.

Hence, the interference from the substrate is relatively small, and there is only interaction between tip and sample either for hard or soft samples [21].

It is shown that SICM in d-SA mode is capable of imaging soft samples such as living cells without damaging them.

FE simulation thus can serve as a tool to a-priori predict temperature sensing capabilities of microprobes used in many applications such as artificial electronic fingertips of robotic hand/prosthetics, biological soft samples.

This paper presents the design, analysis, and simulation study of a novel micro-electromechanical system (MEMS) microgipper with two decoupled electrostatic actuators and two capacitive force sensors dedicated to the testing in compressive and shear directions of soft samples.

The active tip control (ATC) circuitry designed for this method makes it possible to control the repulsive forces and indentation into soft samples, limiting the repulsive forces during the scan while avoiding instability due to attractive forces.

Characterizing a soft sample using particle tracking microrheology strongly relies on the determination of the mean square displacement.

A multi-modal analysis on the intermittent contact between an atomic force microscope (AFM) with a soft sample is presented.

This approach is based on Fourier transform inversion formula to estimate the probability density function (pdf) of the observed soft sample at the receiver.

For most microbiological applications, accurate determination of the contact point (zero separation distance) between the AFM tip and the soft sample is rather delicate due to the complex contributions of surface forces and mechanical deformation [9].

A displacement criterion of contact/impact is proposed to eliminate the assumptions of the previous models such as infinite stiffness of sample or zero impact velocity, which makes the model presented here suitable for more general AFM application scenario, especially for the soft sample case.