Paper 14085-15
Phase Tomography using Axial Structured Illumination
14 April 2026 • 14:40 - 15:00 CEST | Luxembourg/Salon 2 (Niveau/Level 0)
Abstract
This work explores a new approach to holographic tomography (HT) that reconstructs three-dimensional refractive index (RI) distributions or phase using axial structured illumination instead of conventional multi-angle illumination. While iterative optimization methods have improved HT reconstruction quality, most systems still rely on complex multi-angle setups. Through simulations and experiments, this study demonstrates that cross-talk–free, slice-by-slice 3D RI reconstruction is achievable using on-axis structured illumination combined with sparsity constraints, provided the slice spacing follows an effective depth-of-focus design rule. The results establish the feasibility of a simplified Axial Structured Illumination Tomography (ASIT) system, requiring only minimal modification of standard digital holographic microscopes.
Presenter
Nishant Goyal
Indian Institute of Technology Delhi (India)
Nishant Goyal is a final-year Ph.D. candidate at the Indian Institute of Technology (IIT) Delhi, specializing in computational optical imaging and tomography. His research focuses on advancing quantitative phase and 3D refractive index imaging techniques, with a particular emphasis on Axial Structured Illumination Tomography (ASIT), a novel approach for high-resolution 3D phase reconstruction that utilizes computational and physics-based modeling.