Smart microscopy has emerged as a trend within the scientific community, although its definition remains somewhat elusive. Smart microscopy covers a broad spectrum of functionalities that a microscope may possess, ranging from fundamental tasks such as detecting if the light bulb is on to more advanced capabilities like live-tracking a moving cell.

Within the umbrella of smart microscopy, we find the concept of feedback microscopy, a scenario where the microscope's functionality reacts to an event of the sample under study, e.g., a particular biological process of a single cell. Feedback microscopy can further be categorized into two types: event-driven, where the feedback control responds to the event without modifying its conditions, and outcome-driven, where the event and control are interconnected, with one being the consequence of the other.

In the CNB group, my work is centered on outcome-driven feedback microscopy. I apply both my engineering and physics perspectives to improve the way we communicate with the microscope(s), and optimize the way the microscope controls and captures images of the biological processes of single cells.