Roossien, DH;
Sadis, BV;
Yan, Y;
Webb, JM;
Min, LY;
Dizaji, AS;
Bogart, LJ;
... Cai, D; + view all
(2019)
Multispectral tracing in densely labeled mouse brain with nTracer.
Bioinformatics
, 35
(18)
pp. 3544-3546.
10.1093/bioinformatics/btz084.
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Abstract
Summary: This note describes nTracer, an ImageJ plug-in for user-guided, semi-automated tracing of multispectral fluorescent tissue samples. This approach allows for rapid and accurate reconstruction of whole cell morphology of large neuronal populations in densely labeled brains. Availability: nTracer was written as a plugin for the open source image processing software ImageJ. The software, instructional documentation, tutorial videos, sample image and sample tracing results are available at https://www.cai-lab.org/ntracer-tutorial. Supplementary information: Supplementary data are available at Bioinformatics online.
| Type: | Article |
|---|---|
| Title: | Multispectral tracing in densely labeled mouse brain with nTracer |
| Location: | England |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1093/bioinformatics/btz084 |
| Publisher version: | https://doi.org/10.1093/bioinformatics/btz084 |
| Language: | English |
| Additional information: | Copyright © The Author(s) 2019. Published by Oxford University Press. This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Life Sciences > The Sainsbury Wellcome Centre |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10067678 |
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