Fully automated segmentation and characterization of the dendritic trees of retinal horizontal neurons
Conference
·
OSTI ID:1004432
- ORNL
- St. Jude Children's Research Hospital
We introduce a new fully automated method for segmenting and characterizing the dendritic tree of neurons in confocal image stacks. Our method is aimed at wide-field-of-view, low-resolution imagery of retinal neurons in which dendrites can be intertwined and difficult to follow. The approach is based on 3-D skeletonization and includes a method for automatically determining an appropriate global threshold as well as a soma detection algorithm. We provide the details of the algorithm and a qualitative performance comparison against a commercially available neurite tracing software package, showing that a segmentation produced by our method more closely matches the ground-truth segmentation.
- Research Organization:
- Oak Ridge National Laboratory (ORNL)
- Sponsoring Organization:
- ORNL Program Development; ORNL LDRD Seed-Money
- DOE Contract Number:
- AC05-00OR22725
- OSTI ID:
- 1004432
- Country of Publication:
- United States
- Language:
- English
Similar Records
Automatic Detection, Segmentation and Classification of Retinal Horizontal Neurons in Large-scale 3D Confocal Imagery
Automated Tracing of Horizontal Neuron Processes During Retinal Development
Automated Tracing and Segmentation Tool for Migrating Neurons in 4D Confocal Imagery
Conference
·
Fri Dec 31 23:00:00 EST 2010
·
OSTI ID:1049193
Automated Tracing of Horizontal Neuron Processes During Retinal Development
Journal Article
·
Fri Dec 31 23:00:00 EST 2010
· NIH Public Access
·
OSTI ID:1038518
Automated Tracing and Segmentation Tool for Migrating Neurons in 4D Confocal Imagery
Conference
·
Mon Dec 31 23:00:00 EST 2012
·
OSTI ID:1092287