Despite its benefits, scalability in histology poses several challenges:
1. Cost: Implementing scalable solutions, such as advanced automation and digital systems, can be costly. Laboratories must balance the initial investment with long-term benefits. 2. Training: Staff must be adequately trained to use new technologies and systems. This requires time and resources. 3. Data Management: Managing and analyzing large volumes of data can be overwhelming. Effective data management strategies and tools are essential to handle the increased workload. 4. Quality Control: Ensuring consistent quality across a larger volume of samples can be challenging. Rigorous quality control measures must be in place to maintain high standards.
