Optical Imaging for 3D Surface and Phase Recovery: Techniques and Applications
A special issue of Photonics (ISSN 2304-6732).
Deadline for manuscript submissions: 20 August 2026 | Viewed by 895
Editors
Interests: computational sensing and imaging; signal and image processing; machine learning; instrumentation; precision manufacturing; applied robotics
Special Issue Information
Dear Colleagues,
The Special Issue, “Optical Imaging for 3D Surface and Phase Recovery: Techniques and Applications”, aims to gather recent advances, novel methodologies, and transformative applications in the field of computational optical imaging. It focuses on recovering 3D structures and quantitative phase maps. The Special Issue seeks to bridge theory and experimental investigation by highlighting emerging trends across biomedical imaging, industrial metrology, and optical sensing, where precise phase retrieval and 3D reconstruction have become pivotal to scientific discovery and engineering innovation.
Topics of interest include, but are not limited to, the following: quantitative phase imaging, digital holography, interferometric microscopy, coherent diffraction imaging, optical tomography, light-field, ptychography, structured illumination and fringe projection profilometry, time-of-flight, stereo, wavefront sensing, and AI-enhanced imaging and phase recovery. The Special Issue welcomes both fundamental studies—advancing optical physics and computational reconstruction—and applied research demonstrating practical utility in biomedicine, materials science, or precision manufacturing.
Optical imaging has evolved into a cornerstone of modern science and technology, offering unparalleled capabilities for visualizing structure, dynamics, and function across scales. Among its diverse modalities, 3D and phase-resolved imaging techniques occupy a central role as they enable the reconstruction of both the geometric and optical properties of samples. Recent years have witnessed a rapid convergence between optical hardware innovation and computational reconstruction algorithms, driven by advances in inverse imaging theory, deep learning, and high-performance computation. This synergy has enabled 3D and quantitative phase imaging in biology, industrial metrology, and real-time inspection in semiconductor and photonic manufacturing. At the same time, multimodal and multi-wavelength systems have broadened the application landscape, providing richer structural and functional information for complex samples.
The objective of this Special Issue is to present a comprehensive overview of the latest progress in this rapidly expanding field. By uniting contributions from physics, engineering, computational imaging, and artificial intelligence communities, we aim to promote cross-disciplinary dialogue, identify emerging challenges, and inspire next-generation solutions that will push the boundaries of precision optical measurement, biomedical diagnostics, and intelligent imaging systems.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following: quantitative phase imaging, digital holography, interferometric microscopy, coherent diffraction imaging, optical tomography, light-field imaging, ptychography, structured illumination and fringe projection profilometry, time-of-flight, stereo, wavefront sensing, and AI-enhanced imaging and phase recovery.
We look forward to receiving your contributions.
Prof. Dr. Yibin Tian
Prof. Dr. Cheng Liu
Guest Editors
Manuscript Submission Information
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Keywords
- optical imaging
- 3D reconstruction
- phase recovery
- deep learning
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