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Vision and Color Summer Data Blast

Vision and Color Summer Data Blast

You are invited to join the Optica Vision and Color Technical Division for their annual summer data blast!

Every year, the technical groups of the Optica Vision and Color Technical Division organize a Summer data blast.  Each session will be hosted by one of our division’s technical groups and feature short talks related to their area of the field. This year’s topics range from the aging of the eye to applications of artificial intelligence for low vision. The sessions include ample time for questions and discussion following the talks. 

Color Technical Group
07 August 2024, 12:00 - 13:30 EDT (UTC-0400) 

Theme: Current trends in color.
Moderator: Allie Schneider

  • "Self-supervised learning of colour vision purely from optic nerve signals" Atsunobu Kotani, University of California Berkeley 
  • "Human Colour Diet in the Age of AI" Daniel Joyce, Queensland University of Technology 
  • "Hue and chroma discrimination of realistic objects" Laysa Hedjar, Justus-Liebig-Universität Giessen 
  • "Using SSVEP based neuroimaging to measure cortical colour tuning" Ana Rozman, University of Sussex 
  • "Colour perception in artificial neural networks" Arash Akbarinia, Justus-Liebig-Universität Giessen 
  • "Limits on Human Contrast Sensitivity Imposed by the Initial Visual Encoding" Fangfang Hong, University of Pennsylvania

View this session on-demand.


Vision Technical Group
14 August 2024, 12:00 - 13:30 EDT (UTC-0400) 

Theme: The aging eye
Moderators: Christina Schwarz and Alberto de Castro Arribas

  • "Ocular Biomechanics with Optical Coherence Elastography" Kirill Larin, University of Houston
  • "Measuring the mechanical stiffness gradient across the crystalline lens in vivo with optical coherence elastography" Sabine Kling, ARTORG Center for Biomedical Engineering Research, University of Bern               
  •  "Tissue Addition Technology for Presbyopia" Michael Mrochen, IROC Science and Allotex Inc
  •  "SyntEyes OBM: higher-order statistical model for biomechanical analyses" Hosna Ghaderi, University of Antwerp
  • “Normative adaptive optics retinal imaging reveals age dependent differences in cone photoreceptor diameter” Nancy Aguilera, National Eye Institute/National Institutes of Health
  •  "Imaging the multi-spectral autofluorescence variance of healthy aging retinal pigmented epithelial cells via adaptive optics ophthalmoscopy" Daniel Lee, University of Pittsburgh
  •  "Subclinical Glaucomatous Loss of Ganglion Cells Measured with AO-OCT" Matthew John Keller, Indiana University School of Optometry

View this session on-demand.


Lighting Applications Technical Group
21 August 2024, 12:00 - 13:30 EDT (UTC-0400) 

Theme: Applied lighting research
Moderator: Alp Durmus

  • “Enhancing Indoor Daylight Availability through Optimized Urban Architecture: A Simulation-Based Study” Vedia Durmaz, Bilkent University
  • “Influence of color of daylight on discomfort glare perception” Sneha Jain, Stanford University
  • “Shedding Light on Dementia Care: A Clinical Trial on the Effects of Biodynamic Lighting on Sleep and Mood in Institutionalized Older Adults with Dementia” Mohammed Alrahyani, Arizona State University
  • “Can road lighting reduce gender differences in pedestrian reassurance?”  Shahab Gorjimahlabani, Sheffield University
  • “Spatial efficiency of indoor lighting for lighting application efficacy” Parisa Mahmoudzadeh, Pennsylvania State University

View this session on-demand.


Clinical Vision Sciences Technical Group
28 August 2024, 12:00 - 13:30 EDT (UTC-0400) 

Theme: Applications of artificial intelligence for low vision and blindness
Moderator: Arathy Kartha and Yingzi Xiong

  • "Spatial Remapping of Text for Patients with Central Vision Loss and its Optimization" Colin Flowers, University of Minnesota
  • "Localize and Edit: Privacy Preservation for Blind and Low Vision" Yu-Yun (Everley) Tseng, University of Colorado
  • "VI-OCR: A "Visually Impaired" Character Recognition Model for Automatic Text Accessibility Assessment" Qingying Gao, Johns Hopkins University
  • "AI-assisted indoor wayfinding for visually impaired persons" Jun Yu, Lehigh University
  • "Generative AI and Low Vision VR Rehab" Xiaoyan Zhou, NJ Institute of Technology
  • "An investigation into a non-visual digital geographic map viewer and editor" Brandon Biggs, Smith-Kettlewell Eye Research Institute
  • "Can ChatGPT work as a virtual assistant for visually impaired people in micro-navigation tasks" Junxian He, Schepens Eye Institute
  • "Contextually-Aware Navigation Framework for Visual Prosthesis Users" Nicolas Norena Acosta, Johns Hopkins Applied Physics Laboratory
  • "Using natural language processing to link patients' narratives to visual capabilities and sentiments" Dongcheng He, University of California, Berkeley
  • "Empowering low vision people using eye-tracking and AI" Ru Wang, University of Wisconsin-Madison
  • "Virtual Assistants for the Visually Impaired: Custom Wearables and AI-Solutions" Giles Hamilton-Fletcher, NYU Langone Health
  • "AI Integration in Eye Care: From Smartphone Imaging to Cataract Diagnosis" Ji Young Byun, Johns Hopkins University

View this session on-demand.


Applications of Visual Science Technical Group
04 September 2024, 12:00 - 13:30 EDT (UTC-0400) 

Theme: Accommodation and visual function
Moderator: Jiahe Cui and Penny Lawton

  • “Accommodation during refraction procedures” Aina Turull, Universitat Politècnica de Catalunya
  • “Accommodation response while inducing quick temporal variations in defocus” Victor Rodríguez López, Spanish National Research Council
  • “Modeling Ocular Wavefronts with Accommodation” María Mechó García, University of Minho
  • “Ocular accommodation and wavelength” Maydel Fernandez-Alonso, Max Planck Institute for Biological Cybernetics
  • “Accommodation to chromatic stimuli: impact of chromatic and monochromatic aberrations”  Tianlun Zou, University of Rochester
  • “Two-photon vision and its visual parameters” Oliwia Kaczkoś, International Center for Eye Research (ICTER)

View this session on-demand.

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