Center for Visual Science at the University of Rochester

Center for Visual Science at the University of Rochester

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We share the conviction that the visual system can only be understood through the coordinated effort of scientists with different skills.

The Center for Visual Science (CVS) is an interdepartmental program at the University of Rochester that brings together vision scientists from the departments of Brain and Cognitive Science, Optics, Neurobiology and Anatomy, and Ophthalmology. The expertise of the CVS faculty spans psychophysical, physiological, computational, anatomical, and clinical approaches to visual science. The role of the Center is to integrate these approaches into a coordinated research effort.

Heading and Then Saccades Predict Visual Discrimination Decisions in Freely Moving Ferrets 06/08/2026

NEW from CVS members Silei Zhu, Marc Mancarella & Farran Briggs: Heading and then saccades predict visual discrimination decisions in freely moving ferrets, published in eNeuro. https://doi.org/10.1523/eneuro.0124-26.2026

Heading and Then Saccades Predict Visual Discrimination Decisions in Freely Moving Ferrets Decision-making is a continuous process that manifests as evolving sequences of motor movements while animals navigate the sensory environment. Studying decision-making in a naturalistic setting has been challenging as restrictions are typically imposed on subjects’ motor actions in the laboratory...

Photos from Center for Visual Science at the University of Rochester's post 06/05/2026

🎉🥳 Congrats to the 2026 Makous prize winners for undergraduate research, Elizabeth Ginzburg & Vandita Soni! The prize honors the graduating seniors who have made the most outstanding contributions to vision research at Rochester. Read more about Elizabeth and Vandita: https://www.cvs.rochester.edu/training/makous_prize.html

06/03/2026

Researchers, including CVS faculty Susana Marcos, developed a new imaging method to build full 3D models of the eye’s lens. The study showed lens size changes with age and confirmed accurate ways to measure lens shape.
https://doi.org/10.1038/s41598-026-42539-3

Reconstruction of the crystalline lens full-geometry from OCT images acquired with off-axis viewing - Scientific Reports The crystalline lens of the eye is an optical structure that, together with the cornea, focuses images onto the retina. In a young and healthy eye, the lens is transparent and adjusts its shape to focus on near and distant objects (accommodation). With age, it loses this flexibility (presbyopia) and...

Single-shot, depth-encoded multiplexed OCT for multi-spot tracking of induced transient corneal dynamics 05/29/2026

New pub from Susana Marcos in BOE: Single-shot, depth-encoded multiplexed OCT for multi-spot tracking of induced transient corneal dynamics.

Single-shot, depth-encoded multiplexed OCT for multi-spot tracking of induced transient corneal dynamics Fast, non-repeatable transient mechanical events in soft and scattering media are challenging to quantify because they demand high temporal bandwidth, high displacement sensitivity, and multi-point spatial coverage within a single realization. Current non-contact methods for assessing corneal biomec...

Optica Fall Vision Meeting 05/27/2026

Registration and abstract submission for the Optica Fall Vision Meeting are now open! Deadline to submit is July 3, 2026. Please visit the meeting website for more information:

Optica Fall Vision Meeting September 24-27 2026 University of Rochester, Rochester, NY

Optica Fall Vision Meeting - Program 05/26/2026

The sessions have been announced for the 2026 Optica Fall Vision Meeting. Please visit the website for more details and a list of confirmed speakers. Registration and abstract submission will be opening soon.

Optica Fall Vision Meeting - Program OPTICA FALL VISION MEETING September 24-27, 2026 Hosted by the Center for Visual Science at the University of Rochester

05/25/2026

New paper out from Hatem Barhoom: The influence of similarity, sensitivity and bias on letter identification, published in Vision Research.

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Rochester, NY
14627