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3D Image Acquisition and Display: Technology, Perception and Applications (3D)

3D Image Acquisition and Display: Technology, Perception and Applications (3D)

18-21, August 2025
Seattle, WA

3D provides a forum for science, technology, applications of 3D image collection, information processing, visualization and display technologies.

This highly interdisciplinary meeting is related to science, technology and applications that covers research areas related to the acquisition, processing, display and applications of (non-holographic) 3D information as well as the perception, human factors and visual comfort of 3D information displays.

Topic includes the research related to scientific understanding of 3D information display and perception, technological innovation on 3D image acquisition or display methods and task-specific design and applications of 3D acquisition or display technology is of particular interest. Application areas of interest include, but are not limited to, virtual reality, augmented reality, biomedicine, microscopy, endoscopy, healthcare, 3D sensing, 3D information processing, autonomous vehicle, wearable displays and entertainment.

 

Topic Categories

3D Image Acquisition and Display: Technology, Perception and Applications (3D)

This Topical Meeting provides a forum for science, technology, applications of 3D image collection, information processing, visualization and display technologies.

Topics of Interest
  1. 3D Sensing and Imaging Technologies — examples include
    • Sensor technologies for 3D sensing and imaging
    • 3D information acquisition methods and optical architectures
    • LIDAR sensing and imaging
    • Structured illumination
    • 3D imaging in scattering media
    • 3D technology for autonomous driving and intelligent systems
    • Optical engineering design of 3D information acquisition systems
    • User interface technologies for 3D systems such as gaze tracking, depth sensing, motion tracking, etc.
  2. 3D Display and Visualization Technologies — examples include
    • 3D display hardware and software technologies, including holographic, light field, volumetric, as well as stereoscopic display technologies
    • Wearable display methods and technologies, including virtual and augmented reality displays
    • 3D information display methods and optical architectures
    • Optical engineering design of 3D display systems
  3. Image Processing for 3D Systems — examples include
    • Image processing for 3D acquisition and display systems
    • Deep learning and artificial intelligence for 3D acquisition and display systems
    • Calibration and registration
  4. Applications of 3D Image Acquisition or Display Technologies — examples include
    • Virtual reality and augmented reality systems
    • Autonomous vehicles
    • Entertainment and enterprise applications
    • Defense and security
    • Healthcare applications of 3D technologies, including biomedicine, microscopy, endoscopy, medical and scientific visualization, etc.
  5. Emerging Optical Materials and Components for 3D Systems — examples include
    • Flat optics such as meta surfaces or Pancharatnam-Berry (PB) phase lens, etc.
    • Gradient index materials and applications in 3D systems
  6. Active and Tunable Optics for 3D Systems
  7. Event-Based Systems for 3D Events and Imaging and Processing
  8. Perception, Human Factors and Visual Comfort of 3D Information Displays

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Invited Speakers

  • Julie Buquet, Immervision Inc.Canada
    End-to-End Simulation of Camera Systems for Accelerated Design and Image Quality Tuning
  • Xi (Dawn) Chen, Northwestern UniversityUnited States
    3D Quantitative Phase Imaging Techniques for Organoids and in vivo Applications
  • Shwetadwip Chowdhury, University of Texas at AustinUnited States
    Developing Computational Inverse-Scattering Methods for High-Throughput Biological Imaging
  • Frank Billy Djupkep Dizeu, National Research Council CanadaCanada
    Recent Advances in Multipath Light Propagation Correction in Camera-Projector 3D Scanners
  • Kun Gao, GoerTek Electronics Inc.United States
    Vision Correction in AI/AR Glasses with Varifocal Lenses Based on Liquid Crystals
  • Xiangyu Guo, Arizona State UniversityUnited States
    Strobo-Stereoscopy Towards On-Machine Surface Metrology and Inspection
  • Hong Hua, Univ of Arizona, Coll of Opt SciencesUnited States
    Optical Architecture for Foveated Display Technology
  • Shu Jia, Georgia Institute of TechnologyUnited States
    Towards Systems Light-Field and Super-Resolution Biophotonics
  • Seung Ah Lee, Seoul National UniversityRepublic Of Korea
    Monocular Lensless Depth Camera Driven by Deep Learning Using Synthetic Data
  • Yasuhiro Mizutani, The University of OsakaJapan
    8K Resolution Ghost Imaging with Locally Exclusive Structured Illumination
  • Tetsuhiko Muroi, Japan Broadcasting CorporationJapan
    Single-Shot Incoherent Digital Holography Aiming to Capture Three-Dimensional Video
  • Joseph Rosen, Ben-Gurion University of the NegevIsrael
    What Spatial Light Modulators Can do for 3D Imaging?
  • Adrian Stern, Ben-Gurion University of the NegevIsrael
    Denoising Photon-Starved Integral Imaging
  • Norimichi Tsumura, Chiba UniversityJapan
    Extracting Pigmentation Map from Skin Color Image and its Application to 3D Imaging
  • Huiling Zhu, Energetiq Technology IncUnited States
    Novel Broadband Light Sources for 3D and Hyperspectral 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