Name
Title | ||
|---|---|---|
AUTOMATED QUANTIFICATION OF ZEBRAFISH TAIL DEFORMATION FOR HIGH-THROUGHPUT DRUG SCREENING. |
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/ISBI.2013.6556621 | ISBI |
Keywords | Field | DocType |
DNA,aquaculture,biomechanics,cellular biophysics,deformation,drugs,feature extraction,medical image processing,DNA repair,Danio rerio,automated image-based quantification,biomedical research,chemical agents,classification accuracy,early-phase drug discovery,feature extraction,high-throughput drug screening,multifish microplate wells,translucent body,vertebrate model organism,zebrafish tail embryo deformation automated quantification,Curvature extraction,high-throughput screening,quantitative microscopy,zebrafish (Danio rerio) | Biomedical engineering,Cellular biophysics,Danio,Computer science,Artificial intelligence,Throughput,Model organism,Deformation (mechanics),Drug discovery,Pattern recognition,Zebrafish,Bioinformatics,Preclinical imaging | Conference |
ISSN | Citations | PageRank |
1945-7928 | 1 | 0.36 |
References | Authors | |
3 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Omer Ishaq | 1 | 3 | 1.41 |
| Joseph Negri | 2 | 1 | 0.36 |
| Mark-Anthony Bray | 3 | 75 | 7.42 |
| Alexandra Pacureanu | 4 | 9 | 4.84 |
| Randall T Peterson | 5 | 1 | 0.36 |
| Carolina Wählby | 6 | 41 | 6.76 |