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Updated: May 30, 2025

Lensfree On-chip Tomographic Microscopy Employing Multi-angle Illumination and Pixel Super-resolution
Published on: August 16, 2012
Flyscan terahertz multi-plane lensless imaging with suppressed coherent noise
This study introduces a novel flyscan terahertz (THz) imaging technique to overcome noise and artifacts in lensless imaging. The method achieves subwavelength resolution for high-quality, rapid complex-valued THz imaging, with biomedical applications demonstrated.
Area of Science:
- Optics and Photonics
- Terahertz (THz) Imaging
- Biomedical Imaging
Background:
- Coherent lensless imaging faces challenges with coherent noise and twin-image artifacts.
- In the terahertz (THz) range, noise includes parasitic interference fringes and edge diffraction.
- Existing methods struggle with noise suppression and achieving high-resolution imaging in THz frequencies.
Purpose of the Study:
- To develop a novel lensless imaging technique for high-quality, rapid, complex-valued THz imaging.
- To suppress Fabry-Pérot (F-P) interference fringes and edge diffraction in THz imaging.
- To achieve subwavelength resolution in THz imaging for potential biomedical applications.
Main Methods:
- A flyscan THz multi-plane lensless imaging technique is proposed.
- Averaging diffraction patterns over axial shifts suppresses F-P interference fringes.
- Normalization addresses edge diffraction and non-uniform illumination; multi-plane configuration tackles twin-image artifacts.
- Image reconstruction refined using multi-plane alternating projection and total variation regularization algorithms.
Main Results:
- The technique achieves subwavelength resolution (88 µm at 2.52 THz).
- High-quality, full-field, and rapid complex-valued THz imaging is demonstrated.
- Successful imaging of mouse brain tissue showcases biomedical potential.
Conclusions:
- The proposed flyscan THz multi-plane lensless imaging technique effectively suppresses coherent noise and artifacts.
- The method enables high-resolution, rapid THz imaging with potential for biomedical applications.
- Refined reconstruction algorithms further enhance image quality and resolution.
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