Quantitative phenotype assessment - PhenoTox

We use a quantitative phenotype assessment to 

  • develop alternative 3R-compliant test systems
  • to improve the prediction and replacement of vertebrate toxicity tests such as tests for acute and chronic fish toxicity and endocrine disruption
  •  to predict human (developmental) toxicity.

The quantitative phenotype assessment is employed for the comparative assessment of chemicals, mixtures and environmental samples to

  • improve the sensitivity of tests using aquatic non-sentient organism models and
  • derive modes of action of chemicals by pattern comparisons

Our primary model is the zebrafish embryo, but in principal the quantitative phenotype assessment can be applied to other aquatic model organisms. 

Traditional phenotype assessment is based on scoring, which could be subjective and dependent on the observer’s experience. An image-based assessment enables an unbiased quantitation of morphological changes and also provides a comparative assessment of phenotype patterns.

High content analysis is combined with result from behavioral tests and is made possible by appropriate automation of imaging, specific annotation software (FishInspector) and use of advanced databases (INTOB). Automated workflows using KNIME and R-scripts are employed to derive effect concentrations of individual features.

Fish Inspector
The software FishInspector is used to annotate about 15 different structures in lateral and dorsal images. Detection of structural features is based on trained models that could be adopted for different image sources or model organisms.

Group members

If you are interested in joining the group or in collaborations please contact Stefan Scholz.

Dr. Stefan Scholz
Group Leader
Phone: +49 341 6025 1080
E-Mail

Nadia Herold
Scientist
Phone: +49 341 6025 1327
E-Mail

Vanessa Saalmann
PhD student
Phone: +49 341 6025 4951
E-Mail

Bingxu Chen
PhD Student
Phone: +49 341 6025 2373
E-Mail

Gloria Chidiebere Ajugwo
Guest PhD
Phone: +49 341 6025 3447
E-Mail

Emmanuel Ogwu Chukwu
Guest PhD
Phone: +49 341 6025 3349
E-Mail

Tim Jonat
Technician
Phone: +49 341 6025 1922
E-Mail

Carlotta Becker
Technician
Phone: +49 341 6025 2105    
E-Mail

Sanjeev Singilipatti Thirumaran
Master Student
Phone: +49 341 6025 3871
E-Mail

Alumni

Julia Nöth, doctoral student and postdoc

Elisabet Teixido, postdoc

Camila Zanini, research assistant

Publications

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