An image formation model for Secondary Ion Mass Spectrometry imaging of biological tissue samples (Articolo in rivista)

Type

• Articolo in rivista (Classe)
• Prodotto della ricerca (Classe)

Label

• An image formation model for Secondary Ion Mass Spectrometry imaging of biological tissue samples (Articolo in rivista) (literal)

Anno

• 2010-01-01T00:00:00+01:00 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi

• 10.1016/j.apsusc.2010.08.046 (literal)

Alternative label

• Volandri G.; Menichetti L.; Matteucci M.; Kusmic C.; Consumi M.; Magnani A.; L'Abbate A.; Landini L.; Positano V. (2010)
  An image formation model for Secondary Ion Mass Spectrometry imaging of biological tissue samples
  in Applied surface science
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Volandri G.; Menichetti L.; Matteucci M.; Kusmic C.; Consumi M.; Magnani A.; L'Abbate A.; Landini L.; Positano V. (literal)

Pagina inizio

• 1267 (literal)

Pagina fine

• 1275 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 257 (literal)

Rivista

• Applied surface science (Rivista)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note

• In: Applied Surface Science, vol. 257 pp. 1267 - 1275. Elsevier, 2010. (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali

• 9 (literal)

Note

• ISI Web of Science (WOS) (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• a Department of Mechanical, Nuclear and Production Engineering, University of Pisa, Largo Lucio Lazzarino, 1 - 56100, a a Department of Mechanical, Nuclear and Production Engineering, University of Pisa, Pisa, Italy b CNR Institute of Clinical Physiology, Pisa, Italy c Scuola Superiore Sant'Anna, Pisa, Italy d Department of Pharmaceutical and Applied Chemistry - Siena, Italy e Department of Information Engineering, University of Pisa, , Pisa, Italy f Fondazione G. Monasterio CNR-Regione Toscana, 56124 Pisa, Italy (literal)

Titolo

• An image formation model for Secondary Ion Mass Spectrometry imaging of biological tissue samples (literal)

Abstract

• Secondary Ion Mass Spectrometry (SIMS) can provide distribution images of elements and molecular fragments with high sensitivity and spatial resolution. This study aims to exploit the potential of this modality as an imaging technique for biomedical applications. A model of image generation was developed and validated on experimental SIMS images. The model allowed for the selection of standard distance deviation (SDD) and nearest neighbor index (NNI) as suitable indices for the characterization of SIMS images, as they have been associated with sample morphology. Two regression models were proposed to correlate the SDD index and NNI with an index of effectiveness and acquisition parameters. The SDD index, due to its linear relationship with the image noise parameter, was less sensitive to noise. The model was then applied to study the effect of instrumental and analytical parameters, such as pre-sputtering time, on image generation. (literal)

Prodotto di

• Istituto di fisiologia clinica (IFC) (Istituto)

Autore CNR

• VINCENZO POSITANO (Unità di personale interno)
• LUIGI LANDINI (Unità di personale esterno)
• LUCA MENICHETTI (Unità di personale interno)
• CLAUDIA KUSMIC (Unità di personale interno)

Insieme di parole chiave

• Keywords of "An image formation model for Secondary Ion Mass Spectrometry imaging of biological tissue samples" (Insieme di parole chiave)

Incoming links:

Prodotto

• Istituto di fisiologia clinica (IFC) (Istituto)

Autore CNR di

• LUIGI LANDINI (Unità di personale esterno)
• LUCA MENICHETTI (Unità di personale interno)
• VINCENZO POSITANO (Unità di personale interno)
• CLAUDIA KUSMIC (Unità di personale interno)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• Applied surface science (Rivista)

Insieme di parole chiave di

• Keywords of "An image formation model for Secondary Ion Mass Spectrometry imaging of biological tissue samples" (Insieme di parole chiave)