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Nature Research, Nature Methods, 5(9), p. 483-485, 2012

DOI: 10.1038/nmeth.1940

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Integrated genetic and computation methods for in planta cytometry

Journal article published in 2012 by Fernan Federici ORCID, Lionel Dupuy, Laurent Laplaze, Marcus Heisler ORCID, Jim Haseloff ORCID
This paper is made freely available by the publisher.
This paper is made freely available by the publisher.

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Abstract

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.