Linked Life Data

11163415

Source:http://linkedlifedata.com/resource/pubmed/id/11163415

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
1
pubmed:dateCreated
2001-2-22
pubmed:abstractText
We present a new method allowing direct comparison between images obtained by present digital scanning modalities and histological sections from the same object. More specifically the paper illustrates how to orientate, embed, and section large irregular tissue blocks after magnetic resonance imaging (MRI) in such a way that accurate correlation of the digital data sets to histological sections is possible. The functionality and capability of the described procedure and slicing machine is illustrated by results from the pig brain. Accordingly, three pigs were MR-scanned, followed by perfusion fixation. The brains were removed, oriented according to the MR scans, embedded in alginate, and cut on a newly developed slicing machine. The tissue blocks were then stained to reveal grey and white matter and photographed before final sectioning on a cryostat into 80 microm thick sections which were Nissl-stained with toluidine. The results demonstrate how our method enables direct comparison between the pig brain MR images and the later obtained histological sections. The alginate embedding method and slicing machine offer the same possibilities for other parenchymateous organs and soft tissues and may, in addition, be of use in stereological analysis.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Dec
pubmed:issn
0165-0270
pubmed:author
pubmed:issnType
Print
pubmed:day
15
pubmed:volume
104
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
93-8
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
2000
pubmed:articleTitle
Oriented sectioning of irregular tissue blocks in relation to computerized scanning modalities: results from the domestic pig brain.
pubmed:affiliation
Department of Neurobiology, Institute of Anatomy, University of Aarhus, 8000, Aarhus C, Denmark. jenschr@dadlnet.dk
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't