We introduced a Python-based design framework for manufacture-friendly optical ANN. It provides the cross-level interoperability between the photonic circuit chip layout and the neural networks infrastructure to enable the optical ANN with better tolerance to the device-by-device or chip-by-chip deviation. It allows a wide range of abstract on levels to describe the behavior of optical ANN: from the lowest-level functionality of manipulating the properties and arrangement of individual phase shifters on a photonic circuit chip, to the highest-level features of designing optical ANN via PyTorchlike development-library as well as its optimization with the well-established machine learning algorithms such as backpropagation. On all the levels, the physical design of the photonic circuit chip can be integrated and synchronized with the construction of the neural networks accounting the influences of the fabrication-deviation with the assistance of IPKISS, a Python-based tool for photonic circuit design. As a demonstration, we use our framework to design the LeNet-5 networks, which can be executed on the photonic circuit chip with non-uniformed grating coupling efficiency. Our LeNet-5 networks achieves the precision around 97.5% for MNIST task.
For the quick detection of Avian Influenza Virus (AIV), a biosensor based on Quartz Crystal Microbalance (QCM) was
fabricated according to the specific bonding principle between antibody and antigen. Staphylococcal Protein A (SPA)
was extracted from Staphylococcus and purified. Then SPA was coated on the surface of QCM for immobilizing AIV
monoclonal antibodies. The use of AIV monoclonal antibody could enhance the specificity of the immuno-biosensor. A
multi-channel piezoelectricity detection system for the immuno-biosensor was developed. The system can work for the
quick detection of AIV antigen in the case of the entirely aqueous status owe to one special oscillating circuit designed in
this work. The optimum conditions of SPA coating and AIV monoclonal antibody immobilization were investigated
utilizing the multi-channel detection system. The preliminary application of the immuno-biosensor system for detection
of AIV was evaluated. Results indicate that the immuno-biosensor system can detect the AIV antigens with a linear range
of 3-200ng/ml. The system can accomplish the detection of AIV antigens around 40 minutes.
Optical glucose measurement is an attractive research topic for years. One of the goals is to develop a noninvasive monitoring of long term, instantaneous blood glucose for diabetics. The principle of porlarimetry for glucose detection is introduced and several techniques of microdegree porlarimetry for glucose detection are summarized and the facts that effect measurement are discussed. Current and future research is focusing on the elimination of confounding factors such as other optically active substances for precise glucose detection.
The Rheological Behavior of the small intestine as required for the design and operation of a robotic endoscope was discussed. With the goal of engineering a safe and reliable machine, a spirally grooved impeller has been made and the hydrodynamic mucus film formed when the impeller rotates has been used to prevent the injury to intestines and the contact between endoscope and intestine.
Supported Bilayer Lipid Membrane (s-BLM) is a kind of mimicking biomembrane in vitro. The s-BLM was widely applied as a cell membrane model and sensing material of biosensors and biomolecular devices. An electrode based on s-BLM modified with valinomycin was fabricated. Utilizing Cyclic Voltammetry (CV), the influence of temperature on the formation of s-BLM on the top section of the electrode was investigated. The results show that the BLM formed on the top of stainless electrode occurs "phase transition" around 39 Celsius degree. This alters the CV characteristics of BLM. The "phase transition temperature" can be as a new judgment method of the s-BLM configuration.
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