Abstract
BackgroundDrosophila melanogaster is an important organism used in many fields of biological research such as genetics and developmental biology. Drosophila wings have been widely used to study the genetics of development, morphometrics and evolution. Therefore there is much interest in quantifying wing structures of Drosophila. Advancement in technology has increased the ease in which images of Drosophila can be acquired. However such studies have been limited by the slow and tedious process of acquiring phenotypic data.ResultsWe have developed a system that automatically detects and measures key points and vein segments on a Drosophila wing. Key points are detected by performing image transformations and template matching on Drosophila wing images while vein segments are detected using an Active Contour algorithm.The accuracy of our key point detection was compared against key point annotations of users. We also performed key point detection using different training data sets of Drosophila wing images. We compared our software with an existing automated image analysis system for Drosophila wings and showed that our system performs better than the state of the art. Vein segments were manually measured and compared against the measurements obtained from our system.ConclusionOur system was able to detect specific key points and vein segments from Drosophila wing images with high accuracy.
Highlights
Drosophila melanogaster is an important organism used in many fields of biological research such as genetics and developmental biology
In particular Drosophila melanogaster is an important organism used for biological research fields in genetics and developmental biology
Species belonging to the genus Drosophila are useful for this purpose because there are more than 2000 described species in the genus Drosophila [4], each of which has distinct phenotypic characters
Summary
Drosophila melanogaster is an important organism used in many fields of biological research such as genetics and developmental biology. Advancement in technology has increased the ease in which images of Drosophila can be acquired Such studies have been limited by the slow and tedious process of acquiring phenotypic data. More than a thousand of genome sequences and single nucleotide polymorphisms among them have been characterized [2]. This further motivated genome-wide association studies (GWAS) in the literature with the hopes of discovering the variations responsible for genetic diseases and traits in the genome sequences. In particular Drosophila melanogaster is an important organism used for biological research fields in genetics and developmental biology. This situation makes it difficult for ordinary Drosophila researchers to distinguish morphological
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