Change search
ReferencesLink to record
Permanent link

Direct link
LAMINA: a tool for rapid quantification of leaf size and shape parameters
Umeå University, Faculty of Science and Technology, Department of Chemistry.
Show others and affiliations
2008 (English)In: BMC Plant Biology, ISSN 1471-2229, Vol. 8, no 82, 1-9 p.Article in journal (Refereed) Published
Abstract [en]


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.


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.


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.

Place, publisher, year, edition, pages
2008. Vol. 8, no 82, 1-9 p.
Keyword [en]
Image Processing; Computer-Assisted/*methods, Plant Leaves/*anatomy & histology, Populus/anatomy & histology, Principal Component Analysis, Software Validation
National Category
Biological Sciences
URN: urn:nbn:se:umu:diva-10579DOI: doi:10.1186/1471-2229-8-82PubMedID: 18647399OAI: diva2:150250
Available from: 2008-12-10 Created: 2008-12-10 Last updated: 2015-04-29

Open Access in DiVA

No full text

Other links

Publisher's full textPubMed

Search in DiVA

By author/editor
Trygg, JohanGustafsson, PetterJansson, StefanStreet, Nathaniel R
By organisation
Department of ChemistryDepartment of Plant PhysiologyUmeå Plant Science Centre (UPSC)
Biological Sciences

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 132 hits
ReferencesLink to record
Permanent link

Direct link