An efficient ptychography reconstruction strategy through fine-tuning of large pre-trained deep learning model.

ABSTRACT: With pre-trained large models and their associated fine-tuning paradigms being constantly applied in deep learning, the performance of large models achieves a dramatic boost, mostly owing to the improvements on both data quantity and quality. Next-generation synchrotron light sources offer ultra-bright and highly coherent X-rays, which are becoming one of the largest data sources for scientific experiments. As one of the most data-intensive scanning-based imaging methodologies, ptychography produces an immense amount of data, making the adoption of large deep learning models possible. Here, we introduce and refine the architecture of a neural network model to improve the reconstruction performance, through fine-tuning large pre-trained model using a variety of datasets. The pre-trained mod

SUBMITTER: Pan X 

PROVIDER: S-EPMC10687283 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature