AMEBaS

AMEBaS automates quantitative analysis of cell polarity from ratiometric fluorescence time-lapse imaging to extract spatiotemporal profiles of intracellular dynamics and growth in polarized cells such as pollen tubes and root hairs.


Key Features:

  • Automation: Automates midline extraction to remove manual tracing and reduce bias in analysis of polarized cells.
  • Segmentation: Segments the cell from background using pixel intensity thresholding to produce a binary mask isolating the cell.
  • Midline Tracing: Employs skeletonization to trace the midline along the cell's major axis, providing a precise path for assessing intracellular dynamics.
  • Ratiometric Kymograph Generation: Processes two-channel ratiometric time-lapse images to generate a 1D spatial kymograph along the midline that visualizes and quantifies fluorescence intensity changes over time.
  • Ratiometric Analysis: Uses two fluorescence channels to correct for uneven reporter distribution without relying on arbitrary background subtraction.

Scientific Applications:

  • Cell Division and Growth: Quantifies polarity establishment and maintenance during cell division and tip growth in pollen tubes and root hairs.
  • Migration Studies: Measures spatiotemporal polarity dynamics relevant to cellular migration processes.
  • Disease Research: Investigates disrupted cell polarity implicated in cancer and gastric dysplasia.

Methodology:

The method is based on a model of cell polarity using pollen tube and root hair growth and cytosolic ion dynamics, and it has been benchmarked with data from genetically encoded fluorescent reporters.

Topics

Details

Cost:
Free of charge
Tool Type:
workflow
Programming Languages:
Python
Added:
1/2/2024
Last Updated:
11/24/2024

Operations

Publications

Badain R, Damineli DSC, Portes MT, Feijó J, Buratti S, Tortora G, Neves de Oliveira H, Cesar RM. AMEBaS: Automatic Midline Extraction and Background Subtraction of Ratiometric Fluorescence Time-Lapses of Polarized Single Cells. Journal of Visualized Experiments. 2023. doi:10.3791/64857. PMID:37427934.

Links