Discriminating Seebeck sensing of molecules

Sensing cell-secreted molecules

Fields of medicine and life sciences are constantly evolving and striving for improved understanding of how cells function at an individual level, small ensemble level, and tissue level. Such improved understanding will translate into developing therapeutic strategies as well as approaches for disease diagnosis. Behavior of cells at all levels is shaped in significant part by secreted molecules...

Discovery of Geospatial Discriminating Patterns from Remote Sensing Datasets

Large amounts of remotely sensed data calls for data mining techniques to fully utilize their rich information content. In this paper, we study new means of discovery and summarization of knowledge contained in the spatial patterns of remote sensing datasets. Several geospatial feature variables are fused together, and the vector of their values at each spatial cell is considered as a transacti...

Seebeck coefficient of one electron

Sensing of molecules using quantum dynamics.

We design sensors where information is transferred between the sensing event and the actuator via quantum relaxation processes, through distances of a few nanometers. We thus explore the possibility of sensing using intrinsically quantum mechanical phenomena that are also at play in photobiology, bioenergetics, and information processing. Specifically, we analyze schemes for sensing based on ch...

Cavity optomechanical spring sensing of single molecules

Label-free bio-sensing is a critical functionality underlying a variety of health- and security-related applications. Micro-/nano-photonic devices are well suited for this purpose and have emerged as promising platforms in recent years. Here we propose and demonstrate an approach that utilizes the optical spring effect in a high-Q coherent optomechanical oscillator to dramatically enhance the s...