Automated neurovascular tracing and analysis of the knife-edge scanning microscope Rat Nissl data set using a computing cluster. Conference Paper uri icon

abstract

  • We present a novel, parallelizable algorithm capable of automatically reconstructing and calculating anatomical statistics of cerebral vascular networks embedded in large volumes of Rat Nissl-stained data. In this paper, we report the results of our method using Rattus somatosensory cortical data acquired using Knife-Edge Scanning Microscopy. Our algorithm performs the reconstruction task with averaged precision, recall, and F2-score of 0.978, 0.892, and 0.902 respectively. Calculated anatomical statistics show some conformance to values previously reported. The results that can be obtained from our method are expected to help explicate the relationship between the structural organization of the microcirculation and normal (and abnormal) cerebral functioning.

name of conference

  • 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

published proceedings

  • Annu Int Conf IEEE Eng Med Biol Soc

author list (cited authors)

  • Sungjun Lim, .., Nowak, M. R., & Yoonsuck Choe.

citation count

  • 2

complete list of authors

  • Nowak, Michael R

publication date

  • August 2016