Tracing of Neurites
Principal Investigators: Erik Meijering, Mathews Jacob
Main Contribution
We have developed an algorithm to facilitate the tracing and quantitation of neurites in two-dimensional (2D) fluorescence microscopy images. The tracing is done interactively based on the specification of end points; the optimal path is determined on the fly from the optimization of a cost function using Dijkstra's shortest-path algorithm. The procedure also takes advantage of an improved ridge detector implemented by means of a steerable filterbank.
The software is available as a Java pluging,
NeuronJ
, for ImageJ.
Collaborations: Prof. Michael Unser, Dr. Harard Hirling, Juan-Carlos Sarria, Pascal Steiner (Institute of Neurosciences, EPFL)
Period: 2002-2004
Funding:
Major Publications
- , , , , , , Design and Validation of a Tool for Neurite Tracing and Analysis in Fluorescence Microscopy Images, Cytometry Part A, vol. 58A, no. 2, pp. 167–176, April 2004.
- , , Design of Steerable Filters for Feature Detection Using Canny-Like Criteria, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 26, no. 8, pp. 1007–1019, August 2004.