umu.sePublikasjoner
Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
LAMINA: a tool for rapid quantification of leaf size and shape parameters
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Kemiska institutionen.
Vise andre og tillknytning
2008 (engelsk)Inngår i: BMC Plant Biology, ISSN 1471-2229, Vol. 8, nr 82, s. 1-9Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

Background

An increased understanding of leaf area development is important in a number of fields: in food and non-food crops, for example short rotation forestry as a biofuels feedstock, leaf area is intricately linked to biomass productivity; in paleontology leaf shape characteristics are used to reconstruct paleoclimate history. Such fields require measurement of large collections of leaves, with resulting conclusions being highly influenced by the accuracy of the phenotypic measurement process.

Results

We have developed LAMINA (Leaf shApe deterMINAtion), a new tool for the automated analysis of images of leaves. LAMINA has been designed to provide classical indicators of leaf shape (blade dimensions) and size (area), which are typically required for correlation analysis to biomass productivity, as well as measures that indicate asymmetry in leaf shape, leaf serration traits, and measures of herbivory damage (missing leaf area). In order to allow Principal Component Analysis (PCA) to be performed, the location of a chosen number of equally spaced boundary coordinates can optionally be returned.

Conclusion

We demonstrate the use of the software on a set of 500 scanned images, each containing multiple leaves, collected from a common garden experiment containing 116 clones of Populus tremula (European trembling aspen) that are being used for association mapping, as well as examples of leaves from other species. We show that the software provides an efficient and accurate means of analysing leaf area in large datasets in an automated or semi-automated work flow.

sted, utgiver, år, opplag, sider
2008. Vol. 8, nr 82, s. 1-9
Emneord [en]
Image Processing; Computer-Assisted/*methods, Plant Leaves/*anatomy & histology, Populus/anatomy & histology, Principal Component Analysis, Software Validation
HSV kategori
Identifikatorer
URN: urn:nbn:se:umu:diva-10579DOI: doi:10.1186/1471-2229-8-82PubMedID: 18647399OAI: oai:DiVA.org:umu-10579DiVA, id: diva2:150250
Tilgjengelig fra: 2008-12-10 Laget: 2008-12-10 Sist oppdatert: 2018-06-09

Open Access i DiVA

Fulltekst mangler i DiVA

Andre lenker

Forlagets fulltekstPubMedhttp://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Retrieve&list_uids=18647399&dopt=Citation

Personposter BETA

Trygg, JohanGustafsson, PetterJansson, StefanStreet, Nathaniel R

Søk i DiVA

Av forfatter/redaktør
Trygg, JohanGustafsson, PetterJansson, StefanStreet, Nathaniel R
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric

doi
pubmed
urn-nbn
Totalt: 344 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf