This workshop is dedicated to capturing structures and dynamic events from single molecules to cells, emphasizing biochemical labeling, optical approaches, and computational techniques. By bridging experimentalists and theorists from diverse fields, we aim to generate new paths forward for joint design and analysis of complex experiments.

Despite the wealth of experimental data, fundamental challenges common to all complex dynamical systems limit our ability to gain meaningful insight from processes. Such challenges include faithful labeling that does not alter the biology of interest, optical aberrations that limit imaging quality, low signal-to-noise due to fast image or low contrast labels, unwanted background, and other experimental realities. Paired with all of these issues are the ever-expanding dataset size and complexity, rapidly approaching petabytes across many dimensions, creating bottlenecks that limit our ability to extract quantitative information and further push our understanding of complex biological regulatory events.

The workshop intends to bring together scientists with an interest in unraveling more complete, multi-dimensional descriptions of biological systems with interest spanning novel optical methods to the role of AI in imaging and quantitative analysis.