Radiographic Imaging and Tomography (RadIT)
Events
Radiographic Imaging and Tomography (RadIT)
RadIT showcases state-of-the-art imaging technologies and applications using different forms of ionizing radiation, including X-rays, gamma-rays, energetic electrons, protons, neutrons, muons and positrons and includes synergies with optical, ultrasound and MRI modalities.
Radiographic imaging and tomography modalities have demonstrated significant advantages over imaging and tomography using visible light but share many of their technologies, such as detectors, optics and image processing algorithms.
RadIT topics will include those common technologies as well as ionizing radiation sources, novel data collection techniques, radiation detectors, physical models for data interpretation, the use of data-driven methods such as machine learning and AI and a wide range of applications that essentially cover all phases of matter; namely, solid, liquid, gas and plasma.
RadIT provides a unique interdisciplinary forum to bring together pioneers, leading experts and new explorers, and jointly advance imaging and tomography under extremely broad contexts, including the synergies among visible light, ionizing radiation and other forms of probes (e.g., ultrasound, magnetic resonances).
Optica Imaging Congress
3D Image Acquisition and Display: Technology, Perception and Applications (3D)
Computational Optical Sensing and Imaging (COSI)
Digital Holography and Three-Dimensional Imaging (DH)
Imaging Systems and Applications (IS)
Propagation Through and Characterization of Atmospheric
and Oceanic Phenomena (pcAOP)
Topic Categories
Radiographic Imaging and Tomography (RadIT)
RadIT showcases state-of-the-art imaging technologies and applications using different forms of ionizing radiation, including X-rays, gamma-rays, energetic electrons, protons, neutrons, muons and positrons and includes synergies with optical, ultrasound and MRI modalities.
Topics of Interest
- Advances in X-Ray Radiography for ICF and HED Science
- Algorithms and Methods – XFEL
- Ghost Imaging
- Particle Radiography
- RadIT in Biomedicine
- Scintillating Materials and Their Applications
- Ultrafast X-Ray Sources and Science Applications - XFEL
- X-Rays and Artificial Intelligence
- X-Ray Imaging and Tomography of Dynamical Events
Invited Speakers
- Benjamin Barbrel, ALPhANOV, France
Laser-Driven X-Ray Sources. Towards Imaging and Time-Resolved Applications - Francesco Carulli, Universita degli studi di Milano-Bicocca, Italy
Recent Advancements in Lead Halide Perovskite Nanocrystals for Scintillation Applications - Samuel Clark, Argonne National Laboratory, United States
Ultra-High Speed X-Ray Imaging at the APS-U Opportunities Additive Manufacturing and Beyond - Michael Downer, University of Texas at Austin, United States
Radiation from Laser-Driven Wakefield Electron Accelerators for Imaging Applications - Leora Dresselhaus-Marais, Stanford University, United States
X-ray Microscopy of Real-Time Bulk Defect Dynamics - Tina Ebert, Lawrence Livermore National Laboratory, United States
Exploring High Energy Density Phenomena using X-Ray Radiography on the National Ignition Facility (NIF) - Udhav Gawandalkar, ETH Zurich, Switzerland
X-Ray Densitometry Unveils Multiphase Flows - Clément Goyon, Lawrence Livermore National Laboratory, United States
Enhanced Neutron Radiographic Capability using MJ-Class Dense Plasma Focus - Reed Hollinger, Colorado State University, United States
Laser-Driven High-Resolution MeV X-Ray Tomography - Alexander Long, Los Alamos National Laboratory, United States
Frontiers in Neutron Radiography: Neutron Particle Imaging and Detection with Optical Based Timepix Sensors - Simo Mäkiharju, University of California Berkeley, United States
X-Ray Particle Velocimetry - Willow Martin, Stanford University, United States
X-Ray Radiography for Equation of State Measurements of Warm Dense Matter - Emma McBride, Queen's University of Belfast, United Kingdom
Ultrafast X-Ray Diffraction and Imaging of Materials in Extreme Conditions - Federico Moretti, Lawrence Berkeley National Laboratory, United States
High-Efficiency High Energy Photon Radiography Panels - Margie Olbinado, Paul Scherrer Institut, Switzerland
Phase-Contrast X-ray Ghost Imaging - Prabodh Pandey, University of California Irvine, United States
X-Ray Induced Acoustic Imaging - Marco Pizzichemi, Council Europeenne Recherche Nucleaire, Switzerland
Time of Flight Positron Emission Tomography with Depth of Interaction Identification - Brendan Reagan, Lawrence Livermore National Laboratory, United States
Development and Demonstration of Compact Laser-Driven Muon Sources for Radiography - Dean Rusby, Lawrence Livermore National Laboratory, United States
MeV X-Ray Sources from High-Intensity Laser Interactions - Sharon Shwartz, Bar-Ilan University, Israel
High-Energy X-Ray Multipixel Ghost Imaging at 20 µm Resolution: A Scalable Approach for NDT and Biomedical Applications Announced - Conroy Sun, Oregon Health and Science University, United States
Color Tunable X-ray Scintillation by Lanthanide-doping of Nanoparticles for Molecular Imaging and Cancer Therapeutics - Pablo Villanueva Pérez, Lunds Universitet, Sweden
New Time-Resolved 3D Imaging Opportunities at Advanced X-Ray Sources - Gota Yamaguchi, RIKEN SPring-8 Center, Japan
Single-Shot Full-Field X-Ray Imaging with High-NA Reflective Optics
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.
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 Research, UNITED STATES
Scott Daly
Dolby Laboratories, Inc.
Aaron Nicholls
Meta Reality Labs, UNITED 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 LLC, UNITED STATES
Caleb Stoltzfus
Alpenglow Biosciences, UNITED STATES
Jérôme Lecoq
Allen Institute, UNITED STATES
