# Konzept f\"ur Bildanalysen in Hochdurchsatz-Systemen am Beispiel des Zebrab\"arblings

## TL;DR

This paper introduces a comprehensive approach combining optimized experiment design and specialized image analysis modules for high-throughput zebrafish imaging, improving data efficiency and analysis accuracy.

## Contribution

It presents a novel experiment layout optimization method and a new set of image analysis modules tailored for zebrafish, enhancing high-throughput image analysis workflows.

## Key findings

- Reduced data volume and redundancy
- Improved classification accuracy
- Enhanced detection of new signals

## Abstract

With image-based high-throughput experiments, new challenges arise in both, the design of experiments and the automated analysis. To be able to handle the massive number of single experiments and the corresponding amount of data, a comprehensive concept for the design of experiments and a new evaluation method is needed. This work proposes a new method for an optimized experiment layout that enables the determination of parameters, adapted for the needs of automated image analysis. Furthermore, a catalogue of new image analysis modules, especially developed for zebrafish analysis, is presented. The combination of both parts offers the user, usually a biologist, an approach for high-throughput zebrafish image analysis, which enables the extraction of new signals and optimizes the design of experiments. The result is a reduction of data amount, redundant information and workload as well as classification errors.