Get the latest information on scheduling appointments, COVID-19 vaccines, COVID-19 testing, visitation restrictions, and safety measures we have in place.

CCAM at UConn Health

Is developing new approaches for in vivo measurements and manipulation of molecular events within the cell, and new computational approaches for organizing such data into quantitative models.

CCAM integrates new microscope technologies for making quantitative in vivo live cell measurements with new physical formulations and computational tools that will produce spatially realistic quantitative models of intracellular dynamics.

To investigate the relationships between experimental and computational worlds, we use a tripartite approach described as:

  • Measure - develop new tools for measuring spatially resolved dynamic behavior of molecules in cells.
  • Model - develop new methods for spatial modeling of biological systems.
  • Manipulate - develop new techniques for manipulating the spatial distribution of molecules in living cells.

These three analytical approaches, (measurement, modeling and manipulation) are integrated and interdependent, e.g., models generate predictions that can be validated with new measurements, as well as experimental approaches that manipulate intracellular signals and structures. These approaches allow us to tackle fundamental questions of how the spatial organization of molecules in cell is established and how it is utilized to control cell function. CCAM hosts a confluence of expertise in physics, chemistry, experimental cell biology and software engineering immersed in a biomedical research setting that values interdisciplinary collaborations, and our Training Program in Cell Analysis and Modeling provides a new model for interdisciplinary training in cell biology. CCAM is the home of the Virtual Cell, a computational environment for cell biological modeling developed as a NIH-designated National Resource, and also hosts a variety of projects in biophotonics and live cell microscope imaging methods as well as a state-of-the-art user microscopy facility for nonlinear, confocal, and widefield microscopy.

Upcoming Events

  1. Feb 25 2021 Biophysical Virtual Meeting 12:00am
  2. Feb 26 2021 Biophysical Virtual Meeting 12:00am
  3. Feb 26 CAM Journal Club - Mendes12:30pm
  4. Mar 5 CAM Meeting - BPS Review12:00pm
  5. Mar 12 CAM Meeting - Ann Cowan12:00pm
All Events »

Inclusivity Statement

CCAM is committed to fostering an inclusive and tolerant research environment. We support students and faculty of all races, religions, ethnicities, differing physical abilities, sexual orientations, and gender identities.

UConn  maintains a number of resources to promote inclusivity and to report complaints:

Office of Institutional Equity
Ombuds Office
Dean of Students Office Bias Reporting
Office for Diversity and Inclusion
School of Medicine Office of Multicultural and Community Affairs