23rd Annual CCB Workshop
Online, May 23 - 25, 2022.
The CCB Workshops provides hands-on help to cell biologists and biophysicists as they develop models of their own systems using Virtual Cell, COPASI or SpringSaLaD software.
Aurélie Carlier, Maastricht University,
Padmini Rangamani, UC San Diego,
Melanie Stefan, University of Edinburgh, "It's not what you think - using models to uncover counter-intuitive behaviors of biological systems"
Click here for more details about this free workshop and learn how to register.
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:
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