Published November 1, 2016
| Accepted Version
Journal Article
Open
Live confocal imaging of Arabidopsis flower buds
Chicago
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Abstract
Recent advances in confocal microscopy, coupled with the development of numerous fluorescent reporters, provide us with a powerful tool to study the development of plants. Live confocal imaging has been used extensively to further our understanding of the mechanisms underlying the formation of roots, shoots and leaves. However, it has not been widely applied to flowers, partly because of specific challenges associated with the imaging of flower buds. Here, we describe how to prepare and grow shoot apices of Arabidopsis in vitro, to perform both single-point and time-lapse imaging of live, developing flower buds with either an upright or an inverted confocal microscope.
Additional Information
© 2016 Elsevier B.V. Received date: 1 February 2016; Revised date: 11 March 2016; Accepted date: 14 March 2016; Available online 15 March 2016. The authors wish to thank Ann Lavanway at Dartmouth and Andres Collazo at the Biological Imaging Facility at Caltech for their help in solving technical issues with the live confocal imaging. Funding in the Meyerowitz Laboratory was provided by the Howard Hughes Medical Institute, the US National Institutes of Health through grant R01 GM104244 and the Gordon and Betty Moore Foundation through Grant GBMF3406. Funding in the Jack lab was provided by the US National Science Foundation through grant IOS-0926347. Author contributions: NP did the imagery and wrote the manuscript. TPJ and EMM edited the manuscript.Attached Files
Accepted Version - nihms-771745.pdf
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nihms-771745.pdf
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Additional details
- PMCID
- PMC5025338
- Eprint ID
- 65538
- DOI
- 10.1016/j.ydbio.2016.03.018
- Resolver ID
- CaltechAUTHORS:20160321-130327820
- Howard Hughes Medical Institute (HHMI)
- NIH
- R01 GM104244
- Gordon and Betty Moore Foundation
- 3406
- NSF
- IOS-0926347
- Created
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2016-03-22Created from EPrint's datestamp field
- Updated
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2022-04-11Created from EPrint's last_modified field