| First Authors |
Bevan Cheeseman
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| Authors |
Bevan Cheeseman, Ulrik Günther, Krzysztof Gonciarz, Mateusz Susik, Ivo F. Sbalzarini
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| Corresponding Authors |
Ivo F. Sbalzarini
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| Last Authors |
Ivo F. Sbalzarini
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| Journal Name |
Nature communications (Nat Commun) |
| Volume |
9 |
| Issue |
1 |
| Article Number |
5160 |
| Open Access |
true |
| Print Publication Date |
2018-12-04 |
| Online Publication Date |
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| Abstract |
Modern microscopes create a data deluge with gigabytes of data generated each second, and terabytes per day. Storing and processing this data is a severe bottleneck, not fully alleviated by data compression. We argue that this is because images are processed as grids of pixels. To address this, we propose a content-adaptive representation of fluorescence microscopy images, the Adaptive Particle Representation (APR). The APR replaces pixels with particles positioned according to image content. The APR overcomes storage bottlenecks, as data compression does, but additionally overcomes memory and processing bottlenecks. Using noisy 3D images, we show that the APR adaptively represents the content of an image while maintaining image quality and that it enables orders of magnitude benefits across a range of image processing tasks. The APR provides a simple and efficient content-aware representation of fluosrescence microscopy images. |
| PDF |
Cheeseman_2018_7292.pdf
(4.3 MB)
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| Cover Image |
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| Affiliated With |
Predoc first male, CSBD, Predoc first author, Sbalzarini
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| Selected By |
Sbalzarini
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| Acknowledged Services |
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| Publication Status |
Published |
| Edoc Link |
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| Sfx Link |
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| DOI |
10.1038/s41467-018-07390-9 |
| PubMed ID |
30514837 |
| WebOfScience Link |
WOS:000452042500011 |
| Alternative Full Text URL |
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| Display Publisher Download Only |
false |
| Visible On MPI-CBG Website |
true |
| PDF Downloadable |
true |
| Created By |
sbalzari |
| Added Date |
2018-12-04 |
| Last Edited By |
herbst |
| Last Edited Date |
2021-05-27 17:40:57.965 |
| Library ID |
7292 |
| Document ID |
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| Entry Complete |
true |
| eDoc Compliant |
true |
| Include in Edoc Report |
true |
| In Pure |
false |
| Ready for eDoc Export |
false |
| Author Affiliations Complete |
false |
| Project Name |
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| Project URL |
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| Grant ID |
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| Funding Programme |
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| Funding Organisation |
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