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 |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Video_rate_3D_particle_tracking_with_extended_depth_of_field_in_thick_biological_samples.pdf Restricted Access | 2.84 MB | Adobe PDF | View/Open Request a copy |
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