4.8 Article

Integrated genetic and computation methods for in planta cytometry

Journal

NATURE METHODS
Volume 9, Issue 5, Pages 483-U104

Publisher

NATURE PUBLISHING GROUP
DOI: 10.1038/NMETH.1940

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Funding

  1. Biotechnology and Biological Sciences Research Council
  2. Engineering and Physical Sciences Research Council [BBS/B/16720, BEP/17053]
  3. Institut de Recherche pour le Developpement
  4. Bill and Melinda Gates foundation
  5. Scottish Government Rural and Environment Research and Analysis Directorate
  6. Australian Research Council
  7. Biotechnology and Biological Sciences Research Council [BBS/B/16720, BB/F011458/1, BEP17053] Funding Source: researchfish
  8. BBSRC [BB/F011458/1] Funding Source: UKRI

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We present the coupled use of specifically localized fluorescent gene markers and image processing for automated quantitative analysis of cell growth and genetic activity across living plant tissues. We used fluorescent protein markers to identify cells, create seeds and boundaries for the automatic segmentation of cell geometries and ratiometrically measure gene expression cell by cell in Arabidopsis thaliana.

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