Analysis of Deep Learning-Based Phase Retrieval Algorithm Performance for Quantitative Phase Imaging Microscopy

Quantitative phase imaging has been of interest to the science and engineering community and has been applied in multiple research fields and applications. Recently, the data-driven approach of artificial intelligence has been utilized in several optical applications, including phase retrieval. Howe...

Descripción completa

Detalles Bibliográficos
Autores principales: Visitsattapongse, Sarinporn, Thadson, Kitsada, Pechprasarn, Suejit, Thongpance, Nuntachai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9104860/
https://www.ncbi.nlm.nih.gov/pubmed/35591220
http://dx.doi.org/10.3390/s22093530

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9104860/
https://www.ncbi.nlm.nih.gov/pubmed/35591220
http://dx.doi.org/10.3390/s22093530

Ejemplares similares