Biophysical phenotyping of single cells using a differential multiconstriction microfluidic device with self-aligned 3D electrodes
Biosensors and Bioelectronics

Optimal network topology for responsive collective behavior
Science Advances

Rhodamine-naphthalimide demonstrated a distinct aggregation-induced emission mechanism: elimination of dark-states via dimer interactions (EDDI)
Chemical Communications

SUTD Author: Dahou Yang, Yinning Zhou and Ye Ai

“We have developed a high-throughput microfluidic biophysical phenotyping technique that is able to simultaneously characterize the deformability, electrical impedance and relaxation index of single cells. With the use of a trained neural network, this technique enables highly accurately classification of different cell types with accuracy as high as 93.3%."--- Ye Ai

SUTD Author:David Mateo,  Nikolaj Horsevad, Vahid Hassani, Mohammadreza Chamanbaz and Roland Bouffanais

“To investigate the influence of the network topology on collective response, a model of distributed decision-making was used to study the capacity of the system to follow a driving signal for varying topologies and system sizes. Swarm robotics experiments reveal a nontrivial relationship between frequency and optimal network topology.”--- Roland Bouffanais

SUTD Author: Lu Huang and Xiaogang Liu

“In collaborations with scientists from Chinese Academy of Sciences, we have discovered a distinct mechanism to enable aggregation-induced emission (AIE) in rigid fluorophores, by the elimination of dark-states via dimer interactions (EDDI). This discovery paves a new avenue for developing functional AIE materials.”---Xiaogang Liu