Delpiano, J;
Pizarro, L;
Peddie, CJ;
Jones, ML;
Griffin, LD;
Collinson, LM;
(2018)
Automated detection of fluorescent cells in in-resin fluorescence sections for integrated light and electron microscopy.
Journal of Microscopy
, 271
(1)
pp. 109-119.
10.1111/jmi.12700.
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Abstract
Integrated array tomography combines fluorescence and electron imaging of ultrathin sections in one microscope, and enables accurate high-resolution correlation of fluorescent proteins to cell organelles and membranes. Large numbers of serial sections can be imaged sequentially to produce aligned volumes from both imaging modalities, thus producing enormous amounts of data that must be handled and processed using novel techniques. Here, we present a scheme for automated detection of fluorescent cells within thin resin sections, which could then be used to drive automated electron image acquisition from target regions via 'smart tracking'. The aim of this work is to aid in optimization of the data acquisition process through automation, freeing the operator to work on other tasks and speeding up the process, while reducing data rates by only acquiring images from regions of interest. This new method is shown to be robust against noise and able to deal with regions of low fluorescence.
Type: | Article |
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Title: | Automated detection of fluorescent cells in in-resin fluorescence sections for integrated light and electron microscopy |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1111/jmi.12700 |
Publisher version: | https://doi.org/10.1111/jmi.12700 |
Language: | English |
Additional information: | Copyright © 2018 The Authors. This is an open access article under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
Keywords: | Cell segmentation, correlative light and electron microscopy, image processing, integrated light and electron microscopy, in-resin fluorescence, watershed algorithm |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
URI: | https://discovery.ucl.ac.uk/id/eprint/10048147 |
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