Results 251 to 260 of about 560,151 (337)
Dynamic Modulation of OECT‐Based Inverters for In Situ Electrophysiological Monitoring
This work presents a dynamic gain modulation system for inverter‐based in situ electrophysiological monitoring, enabling long‐term stable signal amplification via real‐time driving voltage adjustment. Moreover, stretchable complementary circuits (inverters, NAND, and NOR gates) are achieved based on a flexible PET substrate and a hexagonal network ...
Guohong Hu +7 more
wiley +1 more source
The Zebrafish as a Model for Ocular Translational Research: From Retinal Repair to Regeneration. [PDF]
Balzamino BO +5 more
europepmc +1 more source
A novel optoelectronic reconfigurable neuromorphic transistor based on a graphene/VO2 heterojunction with inserted Au electrodes is proposed. It exhibits broad‐spectrum self‐powered photodetection capability ranging from 365 to 940 nm. Through bias control and electrode sizing strategies, multiple functions for switch, synapse, and storage are achieved,
Danke Chen +10 more
wiley +1 more source
Investigating the role of the ALPK1 signaling pathway in the pathogenesis of diabetic retinopathy. [PDF]
Wu T +7 more
europepmc +1 more source
Engineering Bulk Photovoltaic Effect in 2D Transition Metal Dichalcogenides
Structural and phase engineering in two‐dimensional transition metal dichalcogenides (2D TMDs), through lattice distortion, phase transitions, and polarization modulation, to induce the bulk photovoltaic effect (BPVE) for optoelectronic and energy conversion applications.
Sikandar Aftab, Arden L. Moore
wiley +1 more source
Time-Resolved cAMP Level Determination in Frog Retina Samples Using LC-MS/MS. [PDF]
Chernyshkova OV +3 more
europepmc +1 more source
For bioelectronic applications, organic electrochemical transistors (OECTs), with their mixed ionic and electronic conduction, will be invaluable for interfacing with living systems. This review examines the latest research, which has shifted towards integrating OECTs in logic circuits capable of transducing and processing bio‐signals.
Lorenzo Travaglini +2 more
wiley +1 more source
Deep reinforcement learning for automatic defocus correction using OCT image intensity. [PDF]
Xu G +5 more
europepmc +1 more source

