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Estimation of variance components of local stereological volume estimators: a pilot study
Z. Pawlas, J.R. Nyengaard
Language English Country Great Britain
Document type Research Support, Non-U.S. Gov't
NLK
Medline Complete (EBSCOhost)
from 1998-01-01 to 1 year ago
Wiley Online Library (archiv)
from 1997-01-01 to 2012-12-31
Wiley Free Content
from 1997
- MeSH
- Hippocampus cytology MeSH
- Rats MeSH
- Microscopy methods MeSH
- Brain cytology MeSH
- Pilot Projects MeSH
- Image Processing, Computer-Assisted methods MeSH
- Rats, Wistar MeSH
- Cell Size MeSH
- Animals MeSH
- Check Tag
- Rats MeSH
- Male MeSH
- Animals MeSH
- Publication type
- Research Support, Non-U.S. Gov't MeSH
Local stereological techniques can be used for particle volume estimation based on information collected on a section plane through a reference point of the particle. We present methods for variability estimation of the local stereological volume estimators. This variability arises during the stereological estimation procedure and in the particle population. Both of these components can be estimated separately from planar sections. Our aim is to give a preliminary analysis of the possibility to include the particle structure interaction into the estimation procedure. For this reason, not only the section profiles, but also their locations, have to be recorded. The methods are applied for the sectional data obtained from neurons in the hippocampal brain region subiculum of four 3-month-old male Wistar rats. The proposed procedure enables one to obtain information about particle volume distribution.
References provided by Crossref.org
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- $a Local stereological techniques can be used for particle volume estimation based on information collected on a section plane through a reference point of the particle. We present methods for variability estimation of the local stereological volume estimators. This variability arises during the stereological estimation procedure and in the particle population. Both of these components can be estimated separately from planar sections. Our aim is to give a preliminary analysis of the possibility to include the particle structure interaction into the estimation procedure. For this reason, not only the section profiles, but also their locations, have to be recorded. The methods are applied for the sectional data obtained from neurons in the hippocampal brain region subiculum of four 3-month-old male Wistar rats. The proposed procedure enables one to obtain information about particle volume distribution.
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