Several decades ago, advances in computers, lasers, and detectors set off a revolution in biological microscopy that continues to this day. The result is an embarrassment of riches, where the quantity and complexity of the data we acquire far outstrips our ability to extract quantitative information from, or better yet, novel biological insights from, any more than a small fraction of it. Dr. Betzig will describe the development and application of several microscope technologies, and the challenges and opportunities posed by the data they produce.
Computational imaging involves the joint design of imaging system hardware and software, optimizing across the entire pipeline from acquisition to reconstruction. Computers can replace bulky and expensive optics by solving computational inverse problems. This talk will describe new microscopes that use computational imaging to enable 3D, super-resolution and phase imaging with simple and inexpensive hardware. Our reconstruction algorithms are based on large-scale nonlinear non-convex optimization with sparsity-based regularizers similar to compressed sensing.