With the advancement of minimally invasive surgery (MIS) and interventional therapy robots, the lack of direct perception of the contact force between interventional instruments and human blood vessels and tissues by physicians often leads to surgical complications or suboptimal treatment outcomes. Therefore, the development of miniature force sensors for instrument tips has become a hot research topic. This paper introduces a fiber-optic flexible force sensor based on Fabry- Pérot interference (FPI), which can be integrated into the tip of guidewires used in minimally invasive surgery. The performance of the designed sensor was validated through simulations and experiments, demonstrating its excellent capabilities. The results indicate the potential of this sensor for real-time force monitoring in minimally invasive interventions.
Cell migration assay is the most common research approach for cell migration. Quantitative research and analysis are carried out by measuring the migration of cells into the region that is artificially created among confluent monolayer cells. To improve the efficiency and accuracy of the analysis, the software/tools were developed to assist the image analysis process. However, these software and tools are still at the stage of measuring a single sample, which cannot satisfy the requirement of large sample size for cell migration assay device. In this paper, an image analysis tool based on Fiji is developed, which can segment multiple samples from a scanned image and then analyze a single sample in batch. In addition, the screening function should be added for the application scenario of large sample size. The samples can be filtered according to different conditions to improve the consistency of experimental conditions. The results show that the developed analysis tool ATCA has high accuracy in identifying cell-free zones, with a difference of 2.3% from the tool WHST and 2.9% from manual operation. The analysis efficiency of this tool is 15 times that of manual operation.
Conventional rigid metals and alloys are characterized by complex processing and high cost due to their high hardness and high melting point. Low-melting-point alloy has the advantages of easy processing and high conductivity due to its low melting point, which is very suitable for application in sensor electrodes. In this study, InSnBi electrode with a serpentine structure was fabricated by microfluidic technology. We simulated and compared electrodes with different structures, and studied the influence of manufacturing process on electrode performance. It was found that the interface of metal hydrogel was closely linked. And the InSnBi alloy was shown with good biocompatibility. The fabricated electrode has the potential to be applied for continuous glucose sensing.
We present a simple yet robust way to fabricate mono-dispersed gas-in-oil-in-water (G/O/W) double emulsions in a non-planar microfluidic device. The microfluidic device is composed of two pieces of chip which make the non-planar structure in microchannel be implemented. By manipulating the flow rate of each phase, the structure of the microbubbles can be tuned. This approach is also valid to the generation of G/W/O double emulsions.
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