Automated testing is crucial in histology because it helps to reduce human error, save time, and increase throughput. Given the complexity and volume of histological samples processed in research and clinical settings, automation ensures consistent quality and allows for the analysis of large datasets, which is particularly important for diagnostic accuracy and research productivity.
