High-efficiency procedure to characterize, segment, and quantify complex multicellularity in raw micrographs in plants.

ABSTRACT:

Background

The increasing number of novel approaches for large-scale, multi-dimensional imaging of cells has created an unprecedented opportunity to analyze plant morphogenesis. However, complex image processing, including identifying specific cells and quantitating parameters, and high running cost of some image analysis softwares remains challenging. Therefore, it is essential to develop an efficient method for identifying plant complex multicellularity in raw micrographs in plants.

Results

Here, we developed a high-efficiency procedure to characterize, segment, and quantify plant multicellularity in various raw images using the open-source software packages ImageJ and SR-Tesseler. This procedure allows for the rapid, accurate, automatic quantification of cell patterns and

SUBMITTER: Zhang X 

PROVIDER: S-EPMC7390866 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature