What Are the Challenges in Automated Image Analysis for Nanotechnology?
Despite its benefits, automated image analysis in nanotechnology faces several challenges:
Complexity of nanostructures: Nanostructures can be highly complex and diverse, making segmentation and classification difficult. High-resolution imaging: Requires advanced microscopy techniques that can be expensive and time-consuming. Data management: Handling and storing large amounts of high-resolution image data. Algorithm development: Creating robust algorithms that can accurately analyze diverse and complex nanostructures.
