Digital holographic microscopy is a technique which enables real time monitoring of fast phenomena by using high
speed sensors of video cameras. Using this advantage, we obtain holographic images of flow in microcavities,
employing a CMOS video camera sensor with acquisition rate of 10 000fps. The corresponding reconstructed 3D image
for different flow conditions is obtained from a single hologram using simulations based on the Fresnel approximation.
We develop an automated image processing procedure in order to obtain quantitative information about the dynamic
contact angle evolution, the shape and velocity of an approximately 300μm wide portion from the water-air meniscus
interface in different microscopic cavity geometries.