A neurite quality index and machine vision software for improved quantification of neurodegeneration
| Autor: | Peggy L. Romero, Ted Miller, Arman M. Garakani |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2009 |
| Předmět: | |
| Zdroj: | BioTechniques, Vol 47, Iss 6S, Pp iii-viii (2009) |
| Druh dokumentu: | article |
| ISSN: | 1940-9818 0736-6205 |
| DOI: | 10.2144/000113305 |
| Popis: | Current methods to assess neurodegradation in dorsal root ganglion cultures as a model for neurodegenerative diseases are imprecise and time-consuming. Here we describe two new methods to quantify neuroprotection in these cultures. The neurite quality index (NQI) builds upon earlier manual methods, incorporating additional morphological events to increase detection sensitivity for the detection of early degeneration events. Neurosight is a machine vision-based method that recapitulates many of the strengths of NQI while enabling high-throughput screening applications with decreased costs. |
| Databáze: | Directory of Open Access Journals |
| Externí odkaz: |
|