IMMU-MS17
Intravital imaging in immunology: experimental and computational approaches
Thursday, June 17 at 02:15am (PDT)Thursday, June 17 at 10:15am (BST)Thursday, June 17 06:15pm (KST)
Organizers:
Barun Majumder (University of Tennessee, USA), Soumen Bera (University of Tennessee, USA)
Description:
Intravital Imaging with multi-photon microscopy is one of the most powerful tools to answer some of the longstanding fundamental questions of cell biology, tumor biology and immunology. New and emerging technologies in the field of intravital imaging have helped scientists study cell dynamics and interactions at very high resolutions in tissues in vivo. Based on the labeling and detection of a particular wavelength (fluorescence), the technique can provide insights on cell’s cardinal attributes like division, localization, migration and interaction in a molecular level in three dimensions over time. There are three major steps in the intravital imaging studies: the experimental design, data extraction and processing prior to use in analysis, and the data analysis and mathematical modeling. In this proposed mini-symposium we will invite experts in the area of experimental immunology and mathematical modeling to discuss the challenges, advancements, limitations and accomplishments made in the field in the context of immunology and cell biology.
Joost Beltman
(Division of Drug Discovery and Safety, Leiden Academic Centre for Drug Research, Leiden University, The Netherlands, The Netherlands)"Quantifying the role of T cells in tumor control through computational modeling"
Sachie Kanatani
(Johns Hopkins Bloomberg School of Public Health, USA)"Comparative intravital imaging of human and rodent malaria sporozoites"
Irina Grigorova
(University of Michigan Medical School, USA)"Studying the role of CCL3 in the interactions between Germinal Center B cells and follicular regulatory T cells"
Barun Majumder
(Department of Microbiology, University of Tennessee Knoxville, USA)"Correlation between speed and turning naturally arises for sparsely sampled cell movements"
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