research data . Dataset . 2019

Dataset of confocal microscopy stacks from plant samples - ImageJ SurfCut: a user-friendly, high-throughput pipeline for extracting cell contours from 3D confocal stacks

Özer, Erguvan; Stéphane, Verger;
Open Access
  • Published: 25 Feb 2019
  • Publisher: Zenodo
Abstract
<p>This data set contains confocal stacks from <em>Arabidopsis thaliana </em><em>35S::GFP-MBD</em> light grown hypocotyl as well as propidium iodide stained cotyledon pavement cells and shoot apical meristem. This is the test dataset for the Fiji macro SurfCut (https://github.com/sverger/SurfCut; 10.5281/zenodo.2635737)</p> <p>&nbsp;</p> <p><strong>Material and methods:</strong></p> <p>Plant material and growth conditions</p> <p><em>Arabidopsis thaliana </em>wild type Col-0 and the microtubule reporter line <em>GFP-MBD</em> (WS-4, (Marc et al. 1998) were used. Seeds were cold treated for 48 hr to synchronize germination. Plants were then grown in a phytotron at ...
Subjects
free text keywords: confocal microscopy, Plants, Arabidopsis thaliana, Hypocotyl, Shoot apical meristem, Cotyledon pavement cells, GFP-MBD, propidium iodide, SurfCut, Biophysics, Biochemistry, Microbiology, Cell Biology, Genetics, Neuroscience, Physiology, Biotechnology, Evolutionary Biology, Immunology, Developmental Biology, Cancer, Inorganic Chemistry, Plant Biology, 60506 Virology, 39999 Chemical Sciences not elsewhere classified
Funded by
EC| MECHANODEVO
Project
MECHANODEVO
Mechanical signals in plants: from cellular mechanisms to growth coordination and patterning
  • Funder: European Commission (EC)
  • Project Code: 615739
  • Funding stream: FP7 | SP2 | ERC
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Dataset . 2019
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Dataset . 2019
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Dataset . 2019
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Dataset . 2019
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