Journal
PLANT CELL
Volume 24, Issue 4, Pages 1353-1361Publisher
AMER SOC PLANT BIOLOGISTS
DOI: 10.1105/tpc.112.096289
Keywords
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Funding
- Engineering and Physical Sciences Research Council
- Biotechnology and Biological Sciences Research Council
- BBSRC [BB/D019613/1, BB/H020314/1] Funding Source: UKRI
- Biotechnology and Biological Sciences Research Council [BB/D019613/1, REI20541, BB/H020314/1] Funding Source: researchfish
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It is increasingly important in life sciences that many cell-scale and tissue-scale measurements are quantified from confocal microscope images. However, extracting and analyzing large-scale confocal image data sets represents a major bottleneck for researchers. To aid this process, CellSeT software has been developed, which utilizes tissue-scale structure to help segment individual cells. We provide examples of how the CellSeT software can be used to quantify fluorescence of hormone-responsive nuclear reporters, determine membrane protein polarity, extract cell and tissue geometry for use in later modeling, and take many additional biologically relevant measures using an extensible plug-in toolset. Application of CellSeT promises to remove subjectivity from the resulting data sets and facilitate higher-throughput, quantitative approaches to plant cell research.
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