Deep-ultraviolet Fourier ptychography (DUV-FP) for label-free biochemical imaging via feature-domain optimization
We present deep-ultraviolet Fourier ptychography (DUV-FP) for high-resolution chemical imaging of biological specimens in their native state without exogenous stains. This approach uses a customized 265-nm DUV LED array for angle-varied illumination, leveraging the unique DUV absorption properties of biomolecules at this wavelength region. We implemented a robust feature-domain optimization framework to overcome common challenges in Fourier ptychographic reconstruction, including vignetting, pupil aberrations, stray light problems, intensity variations, and other systematic errors. By using a 0.12 numerical aperture low-resolution objective lens, our DUV-FP prototype can resolve the 345-nm linewidth on a resolution target, demonstrating at least a four-fold resolution gain compared to the captured raw images. Testing on various biospecimens demonstrates that DUV-FP significantly enhances absorption-based chemical contrast and reveals detailed structural and molecular information. To further address the limitations of conventional FP in quantitative phase imaging, we developed a spatially coded DUV-FP system. This platform enables true quantitative phase imaging of biospecimens with DUV light, overcoming the non-uniform phase response inherent in traditional microscopy techniques. The demonstrated advancements in high-resolution, label-free chemical imaging may accelerate developments in digital pathology, potentially enabling rapid, on-site analysis of biopsy samples in clinical settings.
Authors
- Ruihai Wang (ORCID: https://orcid.org/0000-0003-0996-1417)
- Pengming Song (ORCID: https://orcid.org/0000-0003-2306-0391)
- Guoan Zheng (ORCID: https://orcid.org/0000-0002-4268-2690)
- Shuhe Zhang (ORCID: https://orcid.org/0000-0002-3115-7364)
- Tianbo Wang (ORCID: https://orcid.org/0000-0003-1759-3853)
- Qianhao Zhao
Institutions
- University of Connecticut (US)
- University Medical Center (US)
- Maastricht University (NL)
Publication Details
- Journal
- APL Photonics
- Published
- 2024-09-01
- DOI
- https://doi.org/10.1063/5.0227038
- Citations
- 17
- Primary Topic
- Advanced X-ray Imaging Techniques
- Type
- article
- Field-Weighted Citation Impact
- 10.33
Funders
- National Institutes of Health