Denoising time-resolved microscopy image sequences with singular value thresholding
Time-resolved imaging in microscopy is important for the direct observation of a range of dynamic processes in both the physical and life sciences. However, the image sequences are often corrupted by noise, either as a result of high frame rates or a need to limit the radiation dose received by the...
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| Sprache: | Englisch |
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Elsevier
2019
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| Online-Zugang: | https://demo7.dspace.org/handle/123456789/472 |
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| _version_ | 1860822454849503233 |
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| author | Furnival, Thomas Leary, Rowan Midgley, Paul |
| author2 | Plants and Ecosystems (PLECO) - Ecology in a time of change |
| author_browse | Furnival, Thomas Leary, Rowan Midgley, Paul Plants and Ecosystems (PLECO) - Ecology in a time of change |
| author_facet | Plants and Ecosystems (PLECO) - Ecology in a time of change Furnival, Thomas Leary, Rowan Midgley, Paul |
| author_sort | Furnival, Thomas |
| collection | DSpace |
| description | Time-resolved imaging in microscopy is important for the direct observation of a range of dynamic processes in both the physical and life sciences. However, the image sequences are often corrupted by noise, either as a result of high frame rates or a need to limit the radiation dose received by the sample. Here we exploit both spatial and temporal correlations using low-rank matrix recovery methods to denoise microscopy image sequences. We also make use of an unbiased risk estimator to address the issue of how much thresholding to apply in a robust and automated manner. The performance of the technique is demonstrated using simulated image sequences, as well as experimental scanning transmission electron microscopy data, where surface adatom motion and nanoparticle structural dynamics are recovered at rates of up to 32 frames per second. |
| id | oai:localhost:123456789-472 |
| institution | DSPACE.FCHPT |
| language | English |
| publishDate | 2019 |
| publishDateRange | 2019 |
| publishDateSort | 2019 |
| publisher | Elsevier |
| publisherStr | Elsevier |
| record_format | dspace |
| spelling | oai:localhost:123456789-4722021-04-07T16:30:12Z Denoising time-resolved microscopy image sequences with singular value thresholding Furnival, Thomas Leary, Rowan Midgley, Paul Plants and Ecosystems (PLECO) - Ecology in a time of change Time-resolved imaging in microscopy is important for the direct observation of a range of dynamic processes in both the physical and life sciences. However, the image sequences are often corrupted by noise, either as a result of high frame rates or a need to limit the radiation dose received by the sample. Here we exploit both spatial and temporal correlations using low-rank matrix recovery methods to denoise microscopy image sequences. We also make use of an unbiased risk estimator to address the issue of how much thresholding to apply in a robust and automated manner. The performance of the technique is demonstrated using simulated image sequences, as well as experimental scanning transmission electron microscopy data, where surface adatom motion and nanoparticle structural dynamics are recovered at rates of up to 32 frames per second. 2019-04-26T08:57:25Z 2019-04-26T08:57:25Z 10/05/16 https://demo7.dspace.org/handle/123456789/472 en Elsevier |
| spellingShingle | Furnival, Thomas Leary, Rowan Midgley, Paul Denoising time-resolved microscopy image sequences with singular value thresholding |
| title | Denoising time-resolved microscopy image sequences with singular value thresholding |
| title_full | Denoising time-resolved microscopy image sequences with singular value thresholding |
| title_fullStr | Denoising time-resolved microscopy image sequences with singular value thresholding |
| title_full_unstemmed | Denoising time-resolved microscopy image sequences with singular value thresholding |
| title_short | Denoising time-resolved microscopy image sequences with singular value thresholding |
| title_sort | denoising time resolved microscopy image sequences with singular value thresholding |
| url | https://demo7.dspace.org/handle/123456789/472 |
| work_keys_str_mv | AT furnivalthomas denoisingtimeresolvedmicroscopyimagesequenceswithsingularvaluethresholding AT learyrowan denoisingtimeresolvedmicroscopyimagesequenceswithsingularvaluethresholding AT midgleypaul denoisingtimeresolvedmicroscopyimagesequenceswithsingularvaluethresholding |