Cell Boundary Detection By PeakFitting

Cell boundary detection and segmentation based on peak fitting

editing

Description

Input: 2D time series image stack with multicellular epithelia image, with cell boundary labeling.

Output: A text file with detected peak positions.

A segmentation algorithm deigned for Drosophila epithelia cells, to follow the cell dynamics.

  • uses R function from ImageJ to fit cell boundary as a peak position.

Dependency

  • ImageJ (Fiji)
  • R with Java binding (Installation instruction).

Installation

Download peakfitStack.py and open it from script editor, and execute the script.

Usages

Repository

https://github.com/miura/ijmacros/blob/master/peakfitStack.py