• Skip to primary navigation
  • Skip to main content
  • Skip to primary sidebar
UT Shield
The University of Texas at Austin
  • DMIC Home
  • Research
    • Medical Image Processing
    • Functional Imaging
    • Clinical Applications
  • People
    • PI: E. Castillo
    • Postdoctoral Fellows
    • Graduate Students
    • Undergraduates
    • Collaborators
  • AIMI Seminar
    • Speakers
  • Publications

Vijay Rajagopal

Institute: University of Melbourne

Date: January 30, 2025

Title: Harnessing AI for biological microscopy image segmentation

Abstract: The Cell Systems and Mechanobiology Lab at the University of Melbourne is developing computational methods and mathematical models to construct a virtual model of living cell physiology to understand disease mechanisms and computationally find novel therapeutic targets. A first step towards creating a virtual living cell model is to process biological microscopy images to reconstruct an accurate 3D geometric model of the cell interior.  But this step is not as easy as it may seem when one considers image properties, the crowded nature of the cell interior, the variability in anatomical structure between cells, and the size of the microscopy data produced today. In this talk, I will introduce listeners to the unique challenges that microscopy data present to image processing and present our experience in addressing these challenges as we harness AI to accelerate our research towards a virtual model of living cell physiology.

Primary Sidebar

The DMIC Lab has been awarded a Computational Oncology Grant to develop models to forecast the lung's functional response to cancer radiotherapy.

The DMIC Lab and 4D Medical are collaborating on a sponsored research project to further develop image processing methods for quantifying lung health.

Dynamic Lung Compliance Imaging Method published in PMB

UT Home | Emergency Information | Site Policies | Web Accessibility | Web Privacy | Adobe Reader

© The University of Texas at Austin 2025