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Automated standardization of images of Drosophila embryos

[Display omitted] •We propose Embrystandar, a standardization method for Drosophila embryos images.•Embrystandar is highly robust to standardize direction and orientation of embryos.•It works under different image conditions, like resolution, size, and orientation.•The method reached a more than 90%...

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Bibliographic Details
Published in:Journal of visual communication and image representation 2020-08, Vol.71, p.102758, Article 102758
Main Authors: de Sousa, Daniela Justiniano, Cardoso, Maira Arruda, Bisch, Paulo Mascarello, Lopes, Francisco José Pereira, Travençolo, Bruno Augusto Nassif
Format: Article
Language:English
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Summary:[Display omitted] •We propose Embrystandar, a standardization method for Drosophila embryos images.•Embrystandar is highly robust to standardize direction and orientation of embryos.•It works under different image conditions, like resolution, size, and orientation.•The method reached a more than 90% success rate when applied to different datasets. Modeling expression patterns of Drosophila, in space and time, plays a critical role to understand the development of multicellular organisms. In confocal microscopy, to produce precise quantitative data it is frequently necessary to process and analyze large amounts of digital images. Automatic preprocessing is a crucial step in this scenario, essential to standardize significant features such as orientation, size, position, direction, lighting condition and texture of embryo images. Even though a lot of efforts have been made, a robust embryo standardization strategy is still needed. In this paper, we propose the method Embrystandar. It is designed to remove background artifacts and standardize the direction and orientation of a Drosophila embryo through a sequence of automatic operations. To test its potential for large-scale image processing, Embrystandar was applied in different databases. It showed to be robust and precise, reaching more than 90% success rate.
ISSN:1047-3203
1095-9076
DOI:10.1016/j.jvcir.2020.102758