Automated imaging is crucial in toxicology for several reasons. Firstly, it allows for high-throughput screening of large compound libraries, which is essential for identifying potential toxicants. Secondly, it improves the precision and objectivity of data collection, minimizing human error. Lastly, it provides more detailed insights into cellular and tissue morphology, enabling researchers to better understand the mechanisms of toxicity.
