The 22nd International Conference on Systems Biology (ICSB2023)
Co-Chairs: Pedro Mendes and Ion Moraru, CCAM
October 8-12, 2023 (Hartford, CT, USA)
The “Computational Modeling in Biology” Network (COMBINE) workshop 2023
Local organizers: Michael Blinov and Ion Moraru, CCAM
October 5-8, 2023 (Farmington, CT, USA)
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 Systems Biology 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.
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

Upcoming Events
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Sep
29
CAM Presentation - Siyu Sun 12:00pm
CAM Presentation - Siyu Sun
Friday, September 29th, 2023
12:00 PM - 01:00 PM
Demo Room, R1401
CAM PresentationSpeaker: Siyu SunTitle: TBDMeeting Link: https://uconnhealth.webex.com/meet/pmendes -
Oct
5
Computational Modeling in Biology (COMBINE) 12:00am
Computational Modeling in Biology (COMBINE)
Thursday, October 5th, 2023
12:00 AM - 11:59 PM
CGSB
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Oct
6
Computational Modeling in Biology (COMBINE) 12:00am
Computational Modeling in Biology (COMBINE)
Friday, October 6th, 2023
12:00 AM - 11:59 PM
CGSB
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Oct
6
CAM Presentation - Cancelled 12:00pm
CAM Presentation - Cancelled
Friday, October 6th, 2023
12:00 PM - 01:00 PM
Demo Room, R1401
CAM Presentation - Cancelled -
Oct
7
Computational Modeling in Biology (COMBINE) 12:00am
Computational Modeling in Biology (COMBINE)
Saturday, October 7th, 2023
12:00 AM - 11:59 PM
CGSB
News
- Ji Yu Publishes Article on Deep Learning09-07-2023. Congratulations to the Yu lab on a new publication, Point-supervised Single-cell Segmentation via Collaborative Knowledge Sharing. The article describes a new deep learning algorithm for training convolutional neural nets (CNN) to perform the single-cell segmentation task using point-label or no human label. (Yu J. Point-supervised Single-cell Segmentation via Collaborative Knowledge Sharing. IEEE Trans Med […]
- Yan, Acker and Loew’s new paper on near infrared fluorescent voltage sensors08-14-2023. CCAM Faculty Yan, Acker and Loew publish a paper on near infrared fluorescent voltage sensors in PNAS. The organic synthesis of the new ElectroFluor dyes is described as well as an application to optogenetic activation and sensing of cardiac action potentials in live mouse hearts. Yan, P.; Acker, C. D.; Biasci, V.; Judge, G.; […]
- High School students worked this summer at CCAMSeveral high school students worked this summer with CCAM faculty. Avon high school featured a couple of them on their facebook page: Avon High School Internship Program
- CCAM training is featured at UConn TodayMichael Blinov and Sophia Pidvysotski, a high school senior student at Miss Porter’s, a research apprentice at CCAM, are featured in the UConn today devoted to UConn Health’s High School Research Apprentice Program: Connecticut High School Students Conducting Research at UConn Health
- Biophysical Modeling of the Cell special interests group at ASCBProf Margaret Johnson from John Hopkins University and Michael Blinov are hosting the Special Interest Subgroup session on Biophysical Modeling of the Cell at Cell Bio 2023 – an ASCB/EMBO (https://www.ascb.org/cellbio2023/) meeting in Boston, MA, December 2-6. The session will take place on Wednesday, December 6, 8:30 AM – 11:00 AM (https://www.ascb.org/cellbio2023/program/subgroups/).