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Model-Driven Design of Optical Microscopy Experiments to Harvest Single-Cell Fluctuation Information while Rejecting Image Distortion Effects

November 16, 2022 @ 3:00 pm - 4:00 pm UTC-5

Modern fluorescence labeling and optical microscopy approaches make it possible to observe every stage of basic gene regulatory processes, even at the level of individual DNA, RNA, and protein molecules, in living cells, and within fluctuating environments. To complement these observations, the mechanisms and parameters of discrete stochastic models can be rigorously inferred to reproduce and quantitatively predict every step of the central dogma of molecular biology. As single-cell experiments and stochastic models become increasingly more complex and more powerful, the number of possibilities for their integrated application increases combinatorically, requiring efficient approaches for optimized experiment design. In this presentation, we will introduce two model-driven experimental design approaches: one based on detailed mechanistic simulations of optical experiments, and the other on a new formulation of Fisher Information for discrete stochastic process models. Using combinations of experimental data and realistic simulations for single-gene transcription and single-RNA translation, we will demonstrate how experiment design strategies can be reformulated to account for non-gaussian noise within individual cells as well as for arbitrary measurement noise effects due to optical distortions and image processing errors.

Brian Munsky
Associate Professor
Colorado State University


November 16, 2022
3:00 pm - 4:00 pm UTC-5
Event Category:


Engineering & Science Building 048
Vanderbilt University
Nashville, United States
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QSBC Seminar Series

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