What Challenges are Associated with Automated Image Analysis?
Despite its benefits, automated image analysis in toxicology faces several challenges. Developing robust algorithms that can accurately interpret complex biological images is a significant hurdle. Variability in sample preparation and imaging techniques can also affect the consistency of results. Furthermore, the interpretation of data generated by automated systems requires specialized knowledge, which can limit its accessibility. Addressing these challenges requires ongoing collaboration between toxicologists, computer scientists, and engineers to refine the technology and its applications.
