An optimized live imaging and growth analysis approach for Arabidopsis Sepals.

ABSTRACT:

Background

Arabidopsis thaliana sepals are excellent models for analyzing growth of entire organs due to their relatively small size, which can be captured at a cellular resolution under a confocal microscope [1]. To investigate how growth of different tissue layers generates unique organ morphologies, it is necessary to live-image deep into the tissue. However, imaging deep cell layers of the sepal is practically challenging, as it is hindered by the presence of extracellular air spaces between mesophyll cells, among other factors which causes optical aberrations. Image processing is also difficult due to the low signal-to-noise ratio of the deeper tissue layers, an issue mainly associated with live imaging datasets. Addressing some of these challenges, we provide an optimi

SUBMITTER: Yadav AS 

PROVIDER: S-EPMC10849554 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature