Automated tracing and change analysis of angiogenic vasculature from in vivo multiphoton confocal image time series.

@article{AbdulKarim2003AutomatedTA,
  title={Automated tracing and change analysis of angiogenic vasculature from in vivo multiphoton confocal image time series.},
  author={Muhammad-Amri Abdul-Karim and Khalid Al-Kofahi and Edward B. Brown and Rakesh K. Jain and Badrinath Roysam},
  journal={Microvascular research},
  year={2003},
  volume={66 2},
  pages={113-25}
}
Automated methods are described for tracing and analysis of changes in angiogenic vasculature imaged by a multiphoton laser-scanning confocal microscope. Utilizing chronic animal window models, time series of in vivo 3-D images were acquired on approximately the same target volume of the same specimen while undergoing angiogenic change (typically every 24 h for 7 days). Objective, precise, 3-D, rapid, and fully automated vessel morphometry was performed using an adaptive tracing algorithm that… CONTINUE READING