Image Processing and Luminescent Probes for Bioimaging Techniques with High Spatial Resolution and High Sensitivity

The balance of microenvironmental factors (including temperature, pH, ROS species, etc.) plays a crucial role in maintaining normal living organisms’ normal physiological activities and physiological functions. Therefore, armed with the unique superiorities of high spatial resolution, non-invasion, high sensitivity, real-time monitoring, and simple operation, luminescent imaging technology has been widely used in real-time and accurate monitoring of microenvironmental factors in these organisms to prevent, diagnose and treat related diseases in time. However, due to its optical imaging characteristics, it is also faced with such interference factors as relatively shallow imaging penetration depth, background fluorescence (biological autofluorescence) interference in a complex environment, uncertain probe concentration, and unstable laser power in the imaging process, which are not related to the analyte. As for the problems in imaging, such as the uncertainty of probe concentration and the fluctuation of instrument laser power, the ratio detection, and imaging technology with self-calibration function can effectively avoid these problems. As for background fluorescence interference in imaging, probes with long-life emission can be used in imaging. The long-life luminescence of probes from background fluorescence can be recognized by time-resolved luminescence imaging technology to reduce its impact. This paper briefly introduces and summarizes the relative research of ratio detection and imaging technology and time-resolved luminescence imaging technology.

Intrusion Detection System in Manets

One of the most challenging issue nowadays is providing security on MANET architecture. The key issue in MANET is the design of intrusion detection system, that is able to detect attacks in a rapid manner .Traditional methods like genetic algorithms, fuzzy logic, game theory techniques are helpful in designing of IDs. However, these techniques have a limitation on the effects of prevention techniques in general and they are designed for a set of known attacks. These techniques are also tends to increase the false positive ratio, detection rate is low and values of ROC characteristics due to training of feature set of attack patterns . The techniques also failed to detect any new type of attacks by any existing methods. This paper focuses on designing of intrusion detection system based on hybrid approach that effectively able to detect any type of attacks using Evolutionary algorithm techniques.

Magneto-Elastic μ-Vibrator for Smashing Thrombus

A miniaturized thrombus dredger is proposed and developed in this study. The flexural resonance of the µ-resonator dredger is driven by a bulk-extensional magneto-elastic vibrator that is externally excited by alternating magnetic-field. With the fabricated prototype of the resonant dredger, a mice thrombus blocked in a simulated vessel is broken into micro-pieces, and the previously blocked vessel can recover to an unobstructed state within 1 h. A flow-rate ratio detection method is used to evaluate the thrombus-cleaning effectiveness. The comparison between the finite-element simulation and the experimental results validates the flow-rate ratio detection method. By optimally exciting the resonant dredger in its third resonant mode, the flow-rate ratio in the cleaned vessel increases by about 2.7 times compared with that in the partly blocked vessel, and the thrombus is smashed into micro-pieces.