High-resolution lensless holographic microscopy using a physics-aware deep network
We showed improved performance of the HDPhysNet against the unknown perturbation in the imaging parameters such as the propagation distance, the wavelength of the illuminating source, and the imaging sample compared with the trained network (HDGAN). LDIHM, combined with HDPhysNet, is a portable and technology-driven microscopy best suited for point-of-care cytology applications.
Authors
- Renu John (ORCID: https://orcid.org/0000-0003-3254-2472)
- Aswathy Vijay (ORCID: https://orcid.org/0000-0001-5861-8709)
- Ashwini S. Galande (ORCID: https://orcid.org/0000-0001-7318-0004)
- Vikas Thapa (ORCID: https://orcid.org/0000-0002-9535-4893)
Institutions
- Indian Institute of Technology Hyderabad (IN)
Publication Details
- Journal
- Journal of Biomedical Optics
- Published
- 2024-10-08
- DOI
- https://doi.org/10.1117/1.jbo.29.10.106502
- Citations
- 2
- Primary Topic
- Digital Holography and Microscopy
- Type
- article
- Field-Weighted Citation Impact
- 0.68