Label-free quantitative 3D intensity diffraction tomographic imaging in high numerical aperture microscopy

Jiaji Li; Alex Matlock; Yunzhe Li; Qian Chen; Lei Tian; Chao Zuo

doi:10.1117/12.2573372

10 October 2020 Label-free quantitative 3D intensity diffraction tomographic imaging in high numerical aperture microscopy

Jiaji Li, Alex Matlock, Yunzhe Li, Qian Chen, Lei Tian, Chao Zuo

Author Affiliations +

Proceedings Volume 11549, Advanced Optical Imaging Technologies III; 115490B (2020) https://doi.org/10.1117/12.2573372
Event: SPIE/COS Photonics Asia, 2020, Online Only

Abstract

We propose label-free and motion-free resolution-enhanced intensity diffraction tomography recovering the 3D complex refractive index distribution of an object. By combining an annular illumination strategy with a high numerical aperture (NA) condenser, we achieve near diffraction-limited lateral resolution of 346 nm and axial resolution of 1.2 µm over 130 130 8 µm³ volume. Our annular pattern matches the system’s maximum NA to reduce the data requirement to 48 intensity frames. The small data requirement and high resolution enable fast 3D quantitative refractive index imaging of biological cells across hundreds of nanometers scales. The reIDT system is directly built on a standard commercial microscope with a simple LED array source and condenser lens adds-on, and promises broad applications for natural biological imaging with minimal hardware modifications. To test the capabilities of our technique, we present the 3D complex refractive index reconstructions on the Henrietta Lacks (HeLa) and HT29 human cancer cells. Our work provides an important step in intensity-based diffraction tomography towards high resolution imaging applications.

Conference Presentation

Citation Download Citation

Jiaji Li, Alex Matlock, Yunzhe Li, Qian Chen, Lei Tian, and Chao Zuo "Label-free quantitative 3D intensity diffraction tomographic imaging in high numerical aperture microscopy", Proc. SPIE 11549, Advanced Optical Imaging Technologies III, 115490B (10 October 2020); https://doi.org/10.1117/12.2573372

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