Automated neurovascular tracing and analysis of the knife-edge scanning microscope Rat Nissl data set using a computing cluster
| Autor: | Yoonsuck Choe, Sungjun Lim, Michael R. Nowak |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Scanning electron microscope Computer science 02 engineering and technology Tracing Microcirculation 03 medical and health sciences symbols.namesake Automation 020204 information systems Computer cluster Microscopy 0202 electrical engineering electronic engineering information engineering Image Processing Computer-Assisted Animals Computer vision Parallelizable manifold business.industry Brain Somatosensory Cortex Neurovascular bundle Rats Data set 030104 developmental biology Nissl body symbols Enhanced Data Rates for GSM Evolution Artificial intelligence business Algorithms |
| Zdroj: | EMBC |
| ISSN: | 2694-0604 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|