Temporally varying aberrations can increase the uncertainty of imaging based measurement techniques significantly. An example for this are three-dimensional microscopic flow measurements in oscillating droplets through the water-air-interface. In this contribution, 3D microscopy based on a Double-Helix Point Spread Function is combined with a real-time aberration correction in order to compensate the refraction at the fluctuating interface and to reduce the measurement uncertainty. The results have the potential to improve the water management of fuel cells and to reduce the consumption of fossil energy.
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