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In order to research the effect of turbulence on underwater imaging system and image restoration, the underwater turbulence model is simulated by computer fluid dynamics. This model is obtained in different underwater turbulence intensity, which contains the pressure data that influences refractive index distribution. When the pressure value is conversed to refractive index, the refractive index distribution can be received with the refraction formula. In the condition of same turbulent intensity, the distribution of refractive index presents gradient in the whole region, with disorder and mutations in the local region. With the turbulence intensity increase, the holistic variation of the refractive index in the image is larger, and the refractive index change more tempestuously in the local region. All the above are illustrated by the simulation results with he ray tracing method and turbulent refractive index model. According to different turbulence intensity analysis, it is proved that turbulence causes image distortion and increases noise.

Microfluidic impedance sensors play a significant role in point-of-care applications, clinical tests and laboratory studies. Instead of the traditional signal process method with the envelope detector, filter banks and multistage amplifier, we have reported a new implement using synchronous sampling and orthogonal detecting. By studying the intensity and phase modulation in the cell impedance sensing progress, we have calculated the SNR of the new method compare with the raw data. Base on the physical model and the calculation, we have demonstrated a simulation result which shows a capability to detect the signal of 1um cell in a noisy environment.