What Are the Challenges of Using SRM in Cancer Research?
Despite its advantages, SRM comes with several challenges. High-resolution imaging requires sophisticated equipment and expertise, making it less accessible to some research labs. The data generated by SRM is also complex and often requires advanced computational tools for analysis. Moreover, the use of fluorophores can sometimes interfere with biological processes, potentially leading to artifacts in the data.
