Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/127468
Title: Video-rate 3D particle tracking with extended depth-of-field in thick biological samples
Authors: Zhou, Yongzhuang
Zammit, Paul
Zickus, Vytautas
Carles, Guillem
Taylor, Jonathan
Harvey, Andrew R.
Keywords: Three-dimensional imaging
Coding theory
Imaging systems
Microscopy -- Data processing
Issue Date: 2017
Publisher: Optica Publishing Group
Citation: Zhou, Y., Zammit, P., Zickus, V., Carles, G., Taylor, J., & Harvey, A. R. (2017). Video-rate 3D Particle Tracking with Extended Depth-of-field in Thick Biological Samples. Computational Optical Sensing and Imaging 2017, San Francisco. CM3B-3.
Abstract: We present a single-aperture 3D particle localisation and tracking technique with a vastly increased depth-of-field without compromising optical resolution and throughput. Flow measurements in a FEP capillary and a zebrafish blood vessel are demonstrated experimentally.
URI: https://www.um.edu.mt/library/oar/handle/123456789/127468
Appears in Collections:Scholarly Works - FacEngESE

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