Hydrodynamic assisted multiparametric particle spectrometry

The real-time analysis of single analytes in flow is becoming increasingly relevant in cell biology. In this work, we theoretically predict and experimentally demonstrate hydrodynamic focusing with hollow nanomechanical resonators by using an interferometric system which allows the optical probing of flowing particles and tracking of the fundamental mechanical mode of the resonator. We have characterized the hydrodynamic forces acting on the particles, which will determine their velocity depending on their diameter. By using the parameters simultaneously acquired: frequency shift, velocity and reflectivity, we can unambiguously classify flowing particles in real-time, allowing the measurement of the mass density: 1.35 ± 0.07 g·mL-1 for PMMA and 1.7 ± 0.2 g·mL-1 for silica particles, which perfectly agrees with the nominal values. Once we have tested our technique, MCF-7 human breast adenocarcinoma cells are characterized (1.11 ± 0.08 g·mL-1) with high throughput (300 cells/minute) observing a dependency with their size, opening the door for individual cell cycle studies.

Hydrodynamic Assisted Multiparametric Particle Spectrometry

The real-time analysis of single analytes in flow is becoming increasingly relevant in cell biology. In this work, we theoretically predict and experimentally demonstrate hydrodynamic focusing with hollow nanomechanical resonators by using an interferometric system which allows the optical probing of flowing particles and tracking of the fundamental mechanical mode of the resonator. We have characterized the hydrodynamic forces acting on the particles, which will determine their velocity depending on their diameter. By using the parameters simultaneously acquired: frequency shift, velocity and reflectivity, we can unambiguously classify flowing particles in real-time, allowing the measurement of the mass density: 1.35 ± 0.07 g·mL-1 for PMMA and 1.7 ± 0.2 g·mL-1 for silica particles, which perfectly agrees with the nominal values. Once we have tested our technique, MCF-7 human breast adenocarcinoma cells are characterized (1.11 ± 0.08 g·mL-1) with high throughput (300 cells/minute) observing a dependency with their size, opening the door for individual cell cycle studies.

Biomechanics Quick Response System Research of Vault Technical Training

We protocol to research and develop sport biomechanics quick response system for vault technical training, which quick analyzes vault techniques of athletes by using pressure plate on vault board to collect data of step position and strength, combined with synchronous acquisition of coxa joint kinematic parameters. This is helpful to improve the technical training effective of vault gymnast. We use a regular camera to shoot the positive side of athletes. At the same time the pressure plate is placed on vault board to collect dynamic data. Use MATLAB as a development platform, and input the video image of the athletes. The software automatically recognizes tracking coxa joint colored blocks, records the coordinates, and calculates position shift, velocity and other statistics of coxa joint accordingly. Pressure plate with built-in software BioWare can export pressure data and save it as a .txt format. Through programming, MATLAB can read kinetic data of pressure plate in .txt format, and synchronically analyze vault gymnasts movement with tracking kinematics data of coxa joint trajectory. Researching and developing this system is generated from practically overcoming the difficulty in vault training. The features of this system are to collect and analyze data with simplicity and quickness. This system is mainly comprised by normal camera equipment and pressure plate, which can provide a technical diagnose report with kinematics and kinetics parameters in one time vault exercise. For coaches and gymnasts, this report can be used as reference to provide improvement comments in vault daily training, as well as enhance effectiveness and efficiency of vault technical training.