Speckle-Tracking Imaging at the Australian Synchrotron : Preliminary results from speckle-tracking studies at IMBL
dc.contributor.author | Pavlov K | |
dc.contributor.author | Kennedy B | |
dc.contributor.author | Mayo, S | |
dc.contributor.author | Bowden, J | |
dc.contributor.author | Li, T | |
dc.contributor.author | Paganin, D | |
dc.contributor.author | Maksimenko, A | |
dc.contributor.author | Kitchen, M | |
dc.contributor.author | Stevenson, A | |
dc.date.accessioned | 2020-07-23T00:45:12Z | |
dc.date.available | 2020-07-23T00:45:12Z | |
dc.date.issued | 2019 | en |
dc.date.updated | 2020-07-05T08:17:32Z | |
dc.description.abstract | Speckle-tracking imaging utilises highly structured illumination created using a random mask such as sandpaper, and imaged with a detector placed at a suitable distance. The presence of a sample modifies the image of the mask, and by analysing the local changes in the intensity, visibility and position of the mask features, the absorption, refraction and dark-field images of the sample can be extracted. | en |
dc.identifier.citation | MAYO S, BOWDEN J, Li HT, PAGANIN D, Pavlov K, MAKSIMENKO A, Kennedy B, KITCHEN M, STEVENSON A (2019). Preliminary results from speckle-tracking studies at IMBL. Sydney, Australia: ANSTO User Meeting 2019. 02/12/2019-03/12/2019. | en |
dc.identifier.uri | https://hdl.handle.net/10092/100725 | |
dc.language.iso | en | |
dc.rights | All rights reserved unless otherwise stated | en |
dc.rights.uri | http://hdl.handle.net/10092/17651 | en |
dc.subject.anzsrc | Field of Research::02 - Physical Sciences::0299 - Other Physical Sciences::029904 - Synchrotrons; Accelerators; Instruments and Techniques | en |
dc.subject.anzsrc | Fields of Research::51 - Physical sciences::5105 - Medical and biological physics::510502 - Medical physics | en |
dc.title | Speckle-Tracking Imaging at the Australian Synchrotron : Preliminary results from speckle-tracking studies at IMBL | en |
dc.type | Conference Contributions - Published | en |
uc.college | Faculty of Engineering | |
uc.department | Mathematics and Statistics |
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