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|Title:||The implementation of photoacoustic microscopy system based on Zynq||Authors:||Wang, Xijie||Keywords:||Engineering::Electrical and electronic engineering::Computer hardware, software and systems||Issue Date:||2022||Publisher:||Nanyang Technological University||Source:||Wang, X. (2022). The implementation of photoacoustic microscopy system based on Zynq. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158755||Abstract:||Nowadays, with the continuous improvement of the world's living standard, people also put forward higher requirements for medical technology. As an important tool for disease diagnosis and medical research, medical imaging technology is constantly being updated. New imaging technologies with the advantages of rapid, non-destructive, high resolution and high specificity are playing an important role in both clinical medicine and basic medical research. Photoacoustic imaging is a new non-invasive biomedical imaging technology, which combines the advantages of optical imaging and acoustic imaging, with high imaging depth, high resolution, high contrast, fast and safe, etc. In recent years, it has received a lot of attention from all over the world. Among them, photoacoustic microscopy is a basic imaging means of photoacoustic imaging, which has a broad development prospect in the biomedical field. In this dissertation, a Zynq-based Photoacoustic Microscopy hardware system based is implemented. The system is able to establish a TCP connection with the imaging software in PC host through Ethernet interface, and the hardware system works as a TCP server. The PC host can send Parameter Configuration commands and Trigger commands to the hardware system through the Ethernet interface. The Zynq Processing System in the hardware system receives the commands and schedules the modules in Programmable Logic to work in an orderly manner, and then encapsulates the acquired data and transmits it to the PC host via the Ethernet interface for the final photoacoustic imaging.||URI:||https://hdl.handle.net/10356/158755||Schools:||School of Electrical and Electronic Engineering||Fulltext Permission:||restricted||Fulltext Availability:||With Fulltext|
|Appears in Collections:||EEE Theses|
Updated on Dec 1, 2023
Updated on Dec 1, 2023
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