26 June 2017 Distortion-free 3D imaging using wavefront shaping
Author Affiliations +
Proceedings Volume 10335, Digital Optical Technologies 2017; 1033514 (2017) https://doi.org/10.1117/12.2269928
Event: SPIE Digital Optical Technologies, 2017, Munich, Germany
3-dimensional imaging often requires substantial effort since information along the optical axis is not straight forward gatherable. In many applications it is aimed for depth information along the direction of view. For example fluidic mixing processes and the environmental interaction on a microscopic scale are of particular importance for e.g. pharmaceutical applications and often demand for 3D information. This problem is often solved by stereoscopic approaches, where two cameras are used in order to gather depth information by triangulation technique. Another approach is to scan the object through the focal plane in order to get sharp images of each layer. Since the before mentioned approaches require a lot of video data to be evaluated it would be more convenient to get depth mapping within a single camera recording and without scanning. Here we present a tunable 3D depth-mapping camera technique in combination with dynamic aberration control. By using an incoherent light source, only one camera and a spatial light modulator (LCoS-SLM), it is a simply applicable and highly scalable technique. A double-helix point spread function (DH-PSF) is generated for light emerging from the observed focal plane. Each object appears as a double-image on the camera. Within the orientation of the double-image, depth information along the optical axis is encoded. By using an additional adaptive element (deformable mirror) the technique is combined with wide-field aberration correction. Here we combine a tunable 3D depth camera with dynamic aberration control in one imaging system.
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M. Teich, M. Teich, J. Sturm, J. Sturm, L. Büttner, L. Büttner, J. Czarske, J. Czarske, } "Distortion-free 3D imaging using wavefront shaping", Proc. SPIE 10335, Digital Optical Technologies 2017, 1033514 (26 June 2017); doi: 10.1117/12.2269928; https://doi.org/10.1117/12.2269928


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