An optimized live imaging and multiple cell layer growth analysis approach using Arabidopsis sepals

Area of Science:

• Plant Biology
• Developmental Biology
• Microscopy

Background:

• Live imaging deep plant tissues like Arabidopsis sepals is challenging due to low signal-to-noise ratios.
• Understanding organ morphology requires analyzing differential growth across connected cell layers.

Purpose of the Study:

• To develop and optimize a methodology for high-quality live imaging of deep plant tissues.
• To enable cellular-level analysis of inner epidermal layers in Arabidopsis sepals.

Main Methods:

• Utilized a bright fluorescent membrane marker with increased laser intensity and enhanced Z-resolution for imaging.
• Employed a 'voxel removal' technique for visualizing the inner epidermal layer in MorphoGraphX software.
• Described MorphoGraphX parameters for creating 2.5D mesh surfaces and segmenting cells.

Main Results:

• Achieved high-quality images of the inner epidermal layer of Arabidopsis sepals without compromising cell viability.
• Successfully segmented and tracked individual cells in the inner epidermis over time, despite weak signals.
• Demonstrated the utility of the optimized parameters for analyzing deeper cell layers in plant tissues.

Conclusions:

• The developed methodology significantly enhances live imaging capabilities for deep plant tissues.
• This approach facilitates detailed analysis of cell growth and behavior in previously inaccessible layers.
• The technique is broadly applicable to researchers studying plant organ development and growth dynamics.