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.
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:
Upcoming EventsAll Events »
- Congrats to Lauren – 2021 PhysiCell Virtual WorkshopCongratulations to Lauren Marazzi for being accepted as a full participant in the 2021 PhysiCell Virtual Workshop and Hackathon. In addition, Lauren will be awarded an honorarium for her participation.
- Welcome Summer Rotation Students6-3-21. We are pleased to announce that Dan Fairchild and Titas Grabauskas have joined the Acker and Loew labs for their summer rotation. Good luck and welcome to CCAM!
- Les Loew recognized as Board of Trustees Distinguished Professor4-27-2021. Congratulations to Les Loew for his well-deserved recognition as a Board of Trustees Distinguished Professor. Read about some of his accomplishments here.
- Yuezhe Li defends thesis4-8-21. Yuezhe Li, a PhD student with Yi Wu and co-mentored by Boris Slepchenko, successfully defended her thesis today. Congratulations Dr. Li! Dr. Li plans to move on to a position with Metrum Research Group, which specializes in modeling and simulation related to drug development.
- Blinov and Albanese co-authors on publication3-24-21. Dr. Michael Blinov and his former undergraduate student John Albanese are co-authors on a paper in Briefings in Bioinformatics describing SBGN Bricks ontology, a new ontology that facilitates the use of template bricks for repeated processes in biological networks.