Linked Life Data

8189753

Source:http://linkedlifedata.com/resource/pubmed/id/8189753

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
1994-6-23
pubmed:abstractText
The aim of this study was to establish methodological variability in the estimation of the total number of neurones using the optical disector. Variations in the 3 dimensions of the disector probe were analysed under uniform sampling conditions in 50-microns-thick frozen sections of the human mediodorsal thalamic nucleus. There was no significant difference between the estimated neuronal number using samples of variable height (fractionator vs. non-fractionator sampling). In addition, different methods of volume calculation (individual sample vs. an average) did not significantly change the estimated total neuronal number. Large variations in the estimated total neuronal number occurred when the x and y dimensions of the disector probe were altered. In this study, accurate and reproducible estimates were achieved when the disector probe was large enough to have a probability of sampling at least 2 cells per frame. We conclude that the variables in the x-y plane (the disector frame size as well as the sample interval) significantly contribute to differences in the estimated total neuronal number. Several practical measurements to estimate this probability and enhance experimental design are discussed.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:status
MEDLINE
pubmed:month
Jan
pubmed:issn
0165-0270
pubmed:author
pubmed:issnType
Print
pubmed:volume
51
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
83-9
pubmed:dateRevised
2008-11-21
pubmed:meshHeading
pubmed:year
1994
pubmed:articleTitle
Practical considerations for the use of the optical disector in estimating neuronal number.
pubmed:affiliation
Department of Pathology, University of Sydney, NSW, Australia.
pubmed:publicationType
Journal Article, Case Reports, Research Support, Non-U.S. Gov't