Paper 14085-24
High-fidelity label-free 3D microscopy via Fourier ptychographic diffraction tomography with adaptive support constraint
15 April 2026 • 11:40 - 12:00 CEST | Luxembourg/Salon 2 (Niveau/Level 0)
Abstract
Diffraction tomography fundamentally suffers from the missing-cone problem, resulting in severe axial elongation, refractive index (RI) underestimation, and structural cross-talk. Here, we introduce Fourier ptychographic diffraction tomography with adaptive support constraint (FPDT-ASC), a physically grounded framework that exploits the finite spatial extent of the specimen to recover missing spectral information. By jointly refining the RI distribution and the support mask via a random-walk-with-restart strategy, FPDT-ASC enables artifact-free reconstruction without requiring additional measurements. Experimental validation on HeLa cells demonstrates that FPDT-ASC achieves high-fidelity, quantitatively accurate RI reconstruction.
Presenter
Nanjing Univ of Science and Technology (China)
Zhou Shun is a PhD student at Nanjing University of Science and Technology, working under the supervision of Prof. Chao Zuo at the Smart Computational Imaging Laboratory (SCILab). His research focuses on label-free computational microscopic imaging and non-interferometric intensity diffraction tomography. He has authored or co-authored more than 20 papers in leading journals such as Optica, Light: Science & Applications, and Laser & Photonics Reviews, including six as first or co-first author. He is also a student member of the International Society for Optics and Photonics (SPIE) and Optica.