PUBLICATION
Automated Quantification of Zebrafish Tail Deformation for High-Throughput Drug Screening
- Authors
- Ishaq, O., Negri, J., Bray, M.A., Pacureanu, A., Peterson, R.T., and Wählby, C.
- ID
- ZDB-PUB-140415-16
- Date
- 2013
- Source
- Proceedings IEEE International Symposium on Biomedical Imaging 2013: 902-905 (Journal)
- Registered Authors
- Peterson, Randall
- Keywords
- Curvature extraction, high-throughput screening, quantitative microscopy
- MeSH Terms
- none
- PubMed
- 24499782 Full text @ Proc. IEEE Int. Symp. Biomed. Imaging
Citation
Ishaq, O., Negri, J., Bray, M.A., Pacureanu, A., Peterson, R.T., and Wählby, C. (2013) Automated Quantification of Zebrafish Tail Deformation for High-Throughput Drug Screening. Proceedings IEEE International Symposium on Biomedical Imaging. 2013:902-905.
Abstract
Zebrafish (Danio rerio) is an important vertebrate model organism in biomedical research thanks to its ease of handling and translucent body, enabling in vivo imaging. Zebrafish embryos undergo spinal deformation upon exposure to chemical agents that inhibit DNA repair. Automated image-based quantification of spine deformation is therefore attractive for whole-organism based assays for use in early-phase drug discovery. We propose an automated method for accurate high-throughput measurement of tail deformations in multi-fish micro-plate wells. The method generates refined medial representations of partial tail-segments. Subsequently, these disjoint segments are analyzed and fused to generate complete tails. Based on estimated tail curvatures we reach a classification accuracy of 91% on individual animals as compared to known control treatment. This accuracy is increased to 95% when combining scores for fish in the same well.
Genes / Markers
Expression
Phenotype
Mutations / Transgenics
Human Disease / Model
Sequence Targeting Reagents
Fish
Orthology
Engineered Foreign Genes
Mapping