Green light for quantitative live-cell imaging in plants
Plants exhibit an intriguing morphological and physiological plasticity that enables them to thrive in a wide range of environments. To understand the cell biological basis of this unparalleled competence, a number of methodologies have been adapted or developed over the last decades that allow mini...
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| Main Authors: | , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
January 29, 2018
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| In: |
Journal of cell science
Year: 2018, Volume: 131, Issue: 2, Pages: jcs209270 |
| ISSN: | 1477-9137 |
| DOI: | 10.1242/jcs.209270 |
| Online Access: | Verlag, Volltext: https://doi.org/10.1242/jcs.209270 Verlag, Volltext: http://jcs.biologists.org/content/131/2/jcs209270 
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| Author Notes: | Guido Grossmann, Melanie Krebs, Alexis Maizel, Yvonne Stahl, Joop E.M. Vermeer and Thomas Ott |
| Summary: | Plants exhibit an intriguing morphological and physiological plasticity that enables them to thrive in a wide range of environments. To understand the cell biological basis of this unparalleled competence, a number of methodologies have been adapted or developed over the last decades that allow minimal or non-invasive live-cell imaging in the context of tissues. Combined with the ease to generate transgenic reporter lines in specific genetic backgrounds or accessions, we are witnessing a blooming in plant cell biology. However, the imaging of plant cells entails a number of specific challenges, such as high levels of autofluorescence, light scattering that is caused by cell walls and their sensitivity to environmental conditions. Quantitative live-cell imaging in plants therefore requires adapting or developing imaging techniques, as well as mounting and incubation systems, such as micro-fluidics. Here, we discuss some of these obstacles, and review a number of selected state-of-the-art techniques, such as two-photon imaging, light sheet microscopy and variable angle epifluorescence microscopy that allow high performance and minimal invasive live-cell imaging in plants. |
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| Item Description: | Gesehen am 17.05.2019 |
| Physical Description: | Online Resource |
| ISSN: | 1477-9137 |
| DOI: | 10.1242/jcs.209270 |