Gili Bisker

Gili Bisker, Zuckerman Faculty Scholar at Tel Aviv University’s Fleischman Faculty of Engineering, has published Quantifying Population Reversibility of Sensor Performance in Multi-Cycle Single-Sensor Recovery Assay in the journal Nano-Micro-Small. Optical nanosensors are increasingly used to measure chemicals in living systems over time, but reliable imaging requires that sensors recover consistently across repeated exposure and wash cycles. Dr. Bisker’s study introduces a microfluidic imaging workflow that tracks hundreds of individual nanosensors across multiple cycles, revealing hidden heterogeneity that is not visible in ensemble measurements.

Abstract:
Quantitative chemical imaging requires sensors that reliably recover across repeated exposures. While solution phase bulk measurements provide an averaged response of the sensor population, imaging at the single-sensor level enables mapping of biological processes with spatiotemporal resolution, revealing localized events and interaction sites. This work introduces a generic workflow that combines an automated microfluidic flow imaging platform with systematic characterization of the response, recovery, and reversibility of individual nanosensors under multi-cycle challenges.