Marchello, G;
De Pace, C;
Duro-Castano, A;
Battaglia, G;
Ruiz-Pérez, L;
(2020)
End-to-end Image analysis pipeline for liquid-phase electron microscopy.
Journal of Microscopy
10.1111/jmi.12889.
(In press).
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Abstract
Liquid phase transmission electron microscopy allows the imaging of materials in liquid environments. The sample is encapsulated within electron-beam transparent windows and hence protected by the ultra high vacuum necessary within the electron gun. Such an approach allows to study biological and soft materials in their natural environment and offers the possibility of accessing their dynamic nature. Yet, the electron beam scattering from the windows and solvent increases the image noise and blur. Herein, we propose a pipeline to both de-noise and sharpen images obtained by liquid transmission electron microscopy. We develop the workflow in a way that it does not require any human interference, nor introduce artefacts, but actually unveils features of the imaged samples covered by the noise and the blur.
| Type: | Article |
|---|---|
| Title: | End-to-end Image analysis pipeline for liquid-phase electron microscopy |
| Location: | England |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1111/jmi.12889 |
| Publisher version: | https://doi.org/10.1111/jmi.12889 |
| Language: | English |
| Additional information: | C 2020 The Authors. Journal of Microscopy published by John Wiley & Sons Ltd on behalf of Royal Microscopical Society This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
| Keywords: | Denoising, LTEM, deblurring, membrane |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Dept of Chemistry |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10093503 |
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