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Semi-Automatic Parent Labeling to Inner Epidermal Cells in Arabidopsis

Writer's picture: PlantHouse EnterprisePlantHouse Enterprise

Updated: Nov 24, 2024


This video demonstrates the process of semi-automatic parent labeling, a method used to track cell lineage in Arabidopsis sepals. The 24-hour (T1) and 48-hour (T2) timepoint meshes are loaded onto Stack 1 and Stack 2, where a subset of cells in the T2 mesh is manually labeled as parent cells. These serve as reference points for the MorphoGraphX ‘Auto Parent Labeling 2D’ process, which labels the remaining daughter cells. Any cells missed by the auto-labeling process are then manually parent-labeled.


The accuracy of this labeling is verified using the 'Check Correspondence' process, which checks whether the cell junctions between the T1 and T2 meshes align correctly. Cells with errors in junction matching are identified and corrected to ensure all parent labels are accurately assigned.


Tracking the cell lineages across multiple time points reveals important growth patterns. In the inner epidermis, cells predominantly divide vertically along the longitudinal axis of the sepal, whereas the outer epidermis shows more variation, with divisions occurring both longitudinally and transversely. Interestingly, asymmetric cell divisions were observed, suggesting the specification of stomata, and giant cell formation, which occurs early in development, aligns with cessation of cell division.


The methodology not only facilitates detailed parent tracking but also enables the extraction of valuable growth-related data, such as growth rate and direction. The insights gained from this can be particularly useful in understanding the dynamics of growth in different tissues over time


Keywords: growth, 2.5D segmentation, live imaging, image processing, deep tissue imaging, Arabidopsis, MorphoGraphX, sepals


Citation: Singh Yadav A and Roeder AHK (2024) An optimized live imaging and multiple cell layer growth analysis approach using Arabidopsis sepals. Front. Plant Sci. 15:1449195. doi: 10.3389/fpls.2024.1449195


Received: 14 June 2024; Accepted: 29 July 2024;


Published: 03 September 2024.

Attribution 4.0 International — CC BY 4.0 - Creative Commons

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