What Are the Challenges in Computational Imaging for Nanotechnology?
Despite its advantages, computational imaging faces several challenges:
1. Data Processing: The volume of data generated by high-resolution imaging techniques can be enormous, requiring significant computational resources for processing and analysis.
2. Algorithm Development: Creating effective algorithms that can accurately reconstruct high-resolution images from limited data is a complex task that requires interdisciplinary expertise.
3. Noise Reduction: Imaging at the nanoscale often involves dealing with high levels of noise, making it difficult to obtain clear and accurate images.
