Linked Life Data

9351234

Source:http://linkedlifedata.com/resource/pubmed/id/9351234

Statements in which the resource exists as a subject.
PredicateObject
rdf:type
lifeskim:mentions
pubmed:issue
Pt 3
pubmed:dateCreated
1997-12-2
pubmed:abstractText
Electron energy-loss spectroscopic imaging (ESI) yields high-resolution, element-sensitive images. However, ESI suffers from difficulties in distinguishing element-specific and background contributions. New methods have therefore been introduced which use grey-level measurements in micrographic images for a more accurate detection of element distributions. A videodensitometric method allowed the detection of low phosphorus levels in axoplasmic neurofilaments of squid giant axons. Here we further verify these results by investigating the relationship of videodensitometry and electron energy-loss spectroscopy (EELS), particularly considering the peculiarities of these methods in terms of automatic background correction and representation of the results. Six biological specimens and two nonbiological specimens were examined both by EELS and by videodensitometry. In all cases comparable results were obtained. The overlapping PL2,3 and SL2,3 ionization edges could clearly be recognized individually by both methods, and controls showed that mass density variations within the specimens did not impair elemental analysis. Additional evidence supporting the detection of phosphorylation sites in squid neurofilaments was obtained in both EELS and videodensitometric measurements of neurofilament-enriched pellets and of aggregated axoplasmic particles. Thus, video-densitometry appears to be a useful tool for an improved exploration of the full imaging capabilities of energy filtering electron microscopy.
pubmed:language
eng
pubmed:journal
pubmed:citationSubset
IM
pubmed:chemical
pubmed:status
MEDLINE
pubmed:month
Sep
pubmed:issn
0022-2720
pubmed:author
pubmed:issnType
Print
pubmed:volume
187
pubmed:owner
NLM
pubmed:authorsComplete
Y
pubmed:pagination
170-83
pubmed:dateRevised
2006-11-15
pubmed:meshHeading
pubmed:year
1997
pubmed:articleTitle
Videodensitometric analysis of electron spectroscopic micrographs--a tool for detection of biologically relevant elements with high resolution.
pubmed:affiliation
Sektion Elektronenmikroskopie, Universität Ulm, Germany.
pubmed:publicationType
Journal Article, Research Support, Non-U.S. Gov't