ZFIN ID: ZDB-PUB-171209-6
Fully Automated Pipetting Sorting System for Different Morphological Phenotypes of Zebrafish Embryos
Breitwieser, H., Dickmeis, T., Vogt, M., Ferg, M., Pylatiuk, C.
Date: 2017
Source: SLAS technology   23(2): 128-133 (Journal)
Registered Authors: Dickmeis, Thomas, Ferg, Marco, Pylatiuk, Christian
Keywords: automatic sorting, morphological classification, phenotype, rx3 mutant, zebrafish embryo
MeSH Terms:
  • Animals
  • Animals, Laboratory/classification*
  • Embryo, Nonmammalian*
  • Image Processing, Computer-Assisted
  • Mutation*
  • Optical Imaging
  • Phenotype*
  • Sensitivity and Specificity
  • Zebrafish/classification*
PubMed: 29220613 Full text @ SLAS Technol
Systems biology methods, such as transcriptomics and metabolomics, require large numbers of small model organisms, such as zebrafish embryos. Manual separation of mutant embryos from wild-type embryos is a tedious and time-consuming task that is prone to errors, especially if there are variable phenotypes of a mutant. Here we describe a zebrafish embryo sorting system with two cameras and image processing based on template-matching algorithms. In order to evaluate the system, zebrafish rx3 mutants that lack eyes due to a patterning defect in brain development were separated from their wild-type siblings. These mutants show glucocorticoid deficiency due to pituitary defects and serve as a model for human secondary adrenal insufficiencies. We show that the variable phenotypes of the mutant embryos can be safely distinguished from phenotypic wild-type zebrafish embryos and sorted from one petri dish into another petri dish or into a 96-well microtiter plate. On average, classification of a zebrafish embryo takes approximately 1 s, with a sensitivity and specificity of 87% to 95%, respectively. Other morphological phenotypes may be classified and sorted using similar techniques.