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Digital Holography and Three-Dimensional Imaging (DH)

Digital Holography and Three-Dimensional Imaging (DH)

18-21, August 2025
Seattle, WA

DH provides a forum for science, technology, applications of digital holographic, three-dimensional imaging and display methods.

Topic areas include interferometry, quantitative phase imaging, transport of intensity methods, 3D imaging and display systems including VR/AR, computer generated holograms, metasurface holograms, digital holography with various light sources including coherent to incoherent and X-ray to terahertz waves, polarization and dynamic holography, compressive holography, specific image and signal processing and digital holographic methods for microscopy, tomography, optical processing, lithography, metrology, scattering media inspection, remote sensing, non-linear optical systems, bio- and nano-photonics.

 

Topic Categories

Digital Holography and Three-Dimensional Imaging (DH)

The Digital Holography and Three-Dimensional Imaging Topical Meeting provides a forum for science, technology, applications of digital holographic, three-dimensional imaging and display methods.

Topics of Interest
  1. Holographic Display and Imaging Systems 
    • 3D imaging and display systems 
    • Digital holography in LIDAR and related remote sensing techniques 
    • Imaging and display systems for AR and VR applications
    • Holography and metaverse
  2. Digital Holographic Techniques for Bio-Imaging 
    • Quantitative phase imaging 
    • Digital holographic microscopy 
    • Digital holographic tomography
    • Holographic imaging flow cytometry
    • Biomedical/Clinical/Medical applications/lab on chip 
  3. Holographic Optical Elements and Applications 
    • Holographic optical elements 
    • Holographic lithography
    • Photopolymers/photorefractive materials 
  4. Computer Generated Holograms and Metasurface Holograms 
    • Computer generated holograms 
    • Metasurface holograms 
    • Holographic security 
  5. Phase Processing, Retrieval Techniques and Applications 
    • Wavefront shaping and manipulation 
    • Polarization holography 
    • Transport of intensity 
    • Digital holographic optical processing 
    • Compressive holography 
  6. Applications of Digital Holography and 3D Imaging  
    • 2D & 3D image processing for digital holography and feature recognition 
    • Metrology and profilometry 
    • Gated digital holography (time and coherence gating) 
    • Dynamic holography and novel recording materials 
    • Digital holography in nonlinear optical systems 
  7. Contemporary Topics in Digital Holography and 3D Imaging 
    • Advances in digital holographic techniques 
    • Deep learning, AI and neural networks in digital holography and applications 
    • Digital holography for inspection of scattering media 
    • Incoherent holography 
    • Terahertz generation/modulation and its application to digital holography 
    • Emerging applications of digital holography and 3D imaging (environment, pollution, space, etc.) 
  8. Digital Holography with X-Ray, Electron and Neutron Waves 
    • X-ray, electron neutron sources for coherent radiation 
    • Holographic imaging of nano- structures and phenomena
    • X-ray holography with table top, free electron laser (FEL) and synchrotron radiation
    • Neutron holography
    • Coherent diffraction imaging and iterative phase retrieval 

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Committee 

Advisory Committee
Partha Banerjee, Univ. of Dayton, United States
Pascal Picart, Le Mans Universite, France
Ting-Chung Poon, Virginia Tech, United States

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Invited Speakers

  • George Barbastathis, Massachusetts Institute of TechnologyUnited States
    Faster, Smaller, Darker: Optical Physics and Data Science Coming Together to Image Under Extreme Conditions Keynote
  • James Fienup, University of RochesterUnited States
    Motion-Compensated 3D Digital Holography Through Turbulence Keynote
  • Bahram Javidi, University of ConnecticutUnited States
    Multi-Dimensional Optical Sensing and Imaging in Degraded Environment Keynote
  • Aydogan Ozcan, University of California Los AngelesUnited States
    Integration of Programmable Diffraction with Digital Neural Networks Keynote
  • YongKeun Park, Korea Advanced Inst of Science & TechRepublic Of Korea
    Recent Advancements in Holotomography, In Vivo Mouse Brain Imaging, and the Application of Artificial Intelligence Keynote
  • Lei Tian, Boston UniversityUnited States
    Strategies for Exploiting Multiple Scattering Information in Holographic Imaging Keynote
  • Abbie Watnik, US Naval Research LaboratoryUnited States
    Beam Projection and Wavefront Correction Using Digital Holography Keynote
  • Hagen Stolle, HOLOEYE Photonics AGGermany
    LCOS Spatial Light Modulators for Applications in Digital Holography Tutorial
  • Nelson Tabiryan, Beam Engineering for Adv Measurements CoUnited States
    Introduction into the 4th Generation of Optics and its Applications in Modern Technologies Tutorial
  • Laura Waller, University of California BerkeleyUnited States
    3D Fluorescence Microscopy Tutorial
  • Vijayakumar Anand, Tartu ÜlikooliEstonia
    Mid-Infrared Coded Aperture Holography
  • Marco Astarita, Politecnico di MilanoItaly
    Physics-Based Advances in SLM Holography for AR applications: Wireframe Holography and Zero-Order Removal
  • Yasuhiro Awatsuji, Kyoto Institute of TechnologyJapan
    High-Speed 3D Imaging of Dynamic Object by Parallel Phase-Shifting Digital Holography
  • Vittorio Bianco, Consiglio Nazionale delle RicercheItaly
    The Role of QPI in Environmental Monitoring
  • Liang Gao, University of California Los AngelesUnited States
    Breaking the Speed Barrier: High-Speed Light-Field Microscopy for Kilohertz to Terahertz 3D Imaging
  • Jiarong Hong, University of Minnesota Twin CitiesUnited States
    Deep Learning Holography for Realtime Biological Particle Analysis
  • Anna Kashkanova, Max-Planck-Inst Physik des LichtsGermany
    Interferometric Scattering Microscopy and its Applications
  • Yang Liu, Univ of Illinois at Urbana-ChampaignUnited States
    Multiscale Quantitative Phase Imaging Towards Higher Throughput and Higher Resolution for Precision Medicine
  • Pierre Marquet, Université LavalCanada
    From Phase to Cell Phenotypes: DHM and AI Advancing Neuropsychiatric Diagnostics
  • Osamu Matoba, Kobe UniversityJapan
    Three-Dimensional Computational Fluorescence Imaging of Living Tissues
  • Paul Philip Meyer, Georg-August-Universität GottingenGermany
    X-ray Holographic Nano-Imaging: From Phase Retrieval and Optics to Applications
  • Tomoyoshi Shimobaba, Chiba UniversityJapan
    Computer Holography Meets Quantum Computing
  • Peter So, Massachusetts Institute of TechnologyUnited States
    Advances in 3D Tomographic Phase Microscopy
  • Tatsuki Tahara, National Inst of Information & Comm TechJapan
    Digital Motion-Picture Holography with Incoherent Light Sources
  • Toshiaki Tanigaki, Hitachi LtdJapan
    3D and Atomic Level Electromagnetic Field Observations by Electron Holography
  • Kevin Tsia, University of Hong KongHong Kong
    Ultrafast Optofluidic Single-Cell Quantitative Phase Imaging - From Instrumentation to Generative AI Analytics
  • Renjie Zhou, Chinese University of Hong KongHong Kong
    Pushing Profiling Accuracy Limit of Interferometric Quantitative Phase Microscopy
  • Michal Ziemczonok, Politechnika WarszawskaPoland
    Superphantoms for Quantitative Phase Imaging

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Plenary Speakers

Ying 'Melissa' Geng

Meta Reality Labs Research, UNITED STATES

Pushing the limits of VR displays (without breaking them)

Over the last decade, VR displays grew from early prototypes — held together by duct tape — to compelling consumer products used by millions. This talk describes the optical innovations necessary to realize this transformation, including addressing longstanding challenges in contrast and form-factor. While pursuing practical display architectures, we also built a new wave of prototypes, ones that push beyond the current generation and show the experiential impact that further breakthroughs in FOV, resolution, brightness, contrast and accommodation may yet bring. We’ll report not just the technological developments, but also our efforts to widely share this work through better-than-duct-taped public demos, beginning the cycle anew.

About the Speaker
Ying "Melissa" Geng is a research manager of “Optics, Photonics and Light Systems” at Reality Labs Research, Meta, where she leads investigations into advanced optics and display technologies. Together with her team, Melissa has explored “pancake” optics, carrying them from early incubation in 2015 to a successful transfer to product. More recently, she has led efforts to create a hyperrealistic VR demo — featuring above-retinal resolution, high brightness, and high contrast — demonstrating a step change in visual experiences that is the closest to “passing the visual Turing test” yet. Melissa’s prior research also includes studies on high-resolution retinal imaging using adaptive optics. She holds a Ph.D. in Optics from the University of Rochester.


Pietro Ferraro

Institute of Applied Sciences and Intelligent Systems "Eduardo Caianiello" (ISASI-CNR), Italy

Beyond Labels: Enhanced 3D Live Cell Imaging Combined with Flow Cytometry

This presentation explores cutting-edge advancements in label-free 3D live cell imaging, integrating high-throughput flow cytometry with tomographic microscopy. We demonstrate how this combined approach overcomes limitations of traditional 2D and fluorescence-based methods, enabling detailed visualization of cellular architecture and dynamics without the perturbations of labeling. This label-free technique opens new avenues for studying cell cycle progression, cell-drug interactions and other dynamic biological processes, offering valuable insights into cellular function and behavior.

About the Speaker
Pietro Ferraro is Director of Research at the CNR Institute of Applied Sciences and Intelligent Systems (ISASI), Italy. He served as ISASI Director from 2014 to 2019 and President of CNR Research Area in Pozzuoli from 2012 to 2019. Ferraro has held leadership roles in various organizations and worked as Principal Investigator with Alenia Aeronautics from 1988 to 1993. His research spans holography, microscopy, micro-nanostructures, non-destructive testing and optical sensors, with over 350 journal papers, 20,000 citations and 14 patents. A Fellow of both Optica and SPIE, he received the SPIE Gabor Award and served on the Scientific and Technical Committee for the Italian Space Agency from 2018 to 2023.

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Industry Program

The Industry Program at the Optica Imaging Congress enhances the engagement between attendees from academia, industry and government.

Background

The 2025 Industry Program focuses on two key aspects in the contemporary imaging industry: human vision factors and machine learning. The knowledge of human vision factors is essential to design and optimize optics and imaging processing in consumer imaging products. It is also important to understand the potential and limitations of machine learning in the imaging process, especially for bio-medical applications.


2025 Industry Chairs

Lisa Belodoffa
Bell Collaborative, USA, Industry Chair

Francisco Imai
Apple Inc., USA, Industry Co-Chair 
 

Human Factors in Imaging

Tuesday, 19 August 18:00 - 19:00
Moderator: Francisco Imai, Apple Inc., USA

The panel on “Human Factors in Imaging” will have experts in image quality and human vision from industry discussing about image quality in direct view and near-eye displays, key perceptual research questions, role of machine learning in visual perception, quantification of visual comfort in imaging systems and opportunities to create synergy between image visual perception research and optics.

Speakers

Alex Chapiro
Meta Reality Labs ResearchUNITED STATES

Scott Daly
Dolby Laboratories, Inc.

Aaron Nicholls
Meta Reality LabsUNITED STATES
 

Frontiers in Imaging - Trends in Machine Learning and Biological Imaging

Wednesday, 20 August 12:00 - 13:00
Quinault Ballroom
Moderator: Francisco Imai, Apple Inc., USA

Experts in image processing, machine learning and biological sciences discuss how machine learning can overcome limitations in optics in imaging systems, as well as trade-offs in applying machine learning to signal processing and inverse problems, potential issues of hallucinations in machine learning and on unsolved challenges in biological imaging.

Speakers

Mauricio Delbracio
Google LLCUNITED STATES

Caleb Stoltzfus
Alpenglow BiosciencesUNITED STATES

Jérôme Lecoq
Allen InstituteUNITED STATES

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Image for keeping the session alive