AI Tool Accelerates Hearing Research With 3D Cell Views

UC San Diego biologists leverage deep learning to create a new tool that provides unprecedented 3D visualizations of cochlear hair cells.

Jan. 29, 2026 at 6:15am

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Researchers at the University of California San Diego have developed an AI-powered tool called VASCilia that can rapidly generate detailed 3D images of the hair cells within the cochlea, the spiral-shaped structure in the inner ear responsible for hearing. This new tool, described in PLOS Biology, automates a previously slow and labor-intensive process, speeding up the analysis of these microscopic structures by 50-fold. The technology will help scientists better understand how hair cell bundles become disorganized over time or due to environmental stresses, which is crucial for advancing hearing loss research and gene therapy treatments.

Why it matters

Understanding the precise structure and function of hair cells in the cochlea is essential for developing new treatments for hearing loss. The new VASCilia tool provides an unprecedented level of detail about these cells, which will accelerate research into the biological mechanisms behind hearing and open new avenues for therapies targeting hair cell damage or misalignment.

The details

VASCilia was developed by UC San Diego postdoctoral scholar Yasmin Kassim and Biological Sciences Assistant Professor Uri Manor, using deep learning models trained on cochlear data. The tool automates the process of interpreting microscopic images of hair cell bundles, known as stereocilia, which are organized to detect sound and movement. VASCilia can generate 3D visualizations of these cells, measure their length and orientation, and detect subtle patterns of disorganization that would be difficult for humans to identify manually. This level of detailed analysis was previously a slow and labor-intensive process, but VASCilia has reduced the time required by a factor of 50.

  • VASCilia was described in a paper published in PLOS Biology in January 2026.

The players

Yasmin Kassim

A postdoctoral scholar at the University of California San Diego who co-developed the VASCilia tool.

Uri Manor

An assistant professor in the Department of Cell and Developmental Biology at the University of California San Diego, and the faculty director of the Goeddel Family Technology Sandbox, who co-developed the VASCilia tool.

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What they’re saying

“Understanding how stereocilia bundles get disorganized over time, or after exposure to certain environmental stresses, is very important in hearing loss research.”

— Uri Manor, Assistant Professor, Department of Cell and Developmental Biology, University of California San Diego (PLOS Biology)

“We've reduced the amount of time it takes to analyze the length of these cells by a factor of 50, enabling many additional 2D and 3D quantitative measurements that can be acquired in minutes — work that would otherwise require years of manual analysis.”

— Yasmin Kassim, Postdoctoral Scholar, University of California San Diego (PLOS Biology)

What’s next

The researchers hope that the open-source nature of VASCilia will eventually lead to the creation of a comprehensive atlas of cochlea hair cell images, which will further support advancements in hearing research.

The takeaway

The VASCilia tool represents a significant leap forward in the ability to visualize and analyze the intricate structures of hair cells within the cochlea, which is crucial for understanding hearing function and developing new treatments for hearing loss. This AI-powered technology has the potential to accelerate progress in this important field of biomedical research.