Super-resolution FPGA implementation for medical imaging application
A board level lensless microfluidic imaging system is improved as part of the project. Cell detecting and counting algorithm is improved with more accuracy by using Matlab. New PCB is designed using PADS to adopt the image sensor with higher resolution (2.2µm * 2.2µm). More cell details can be reta...
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sg-ntu-dr.10356-604562023-07-07T15:50:43Z Super-resolution FPGA implementation for medical imaging application Wang, Peng Yeo Kiat Seng School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic circuits A board level lensless microfluidic imaging system is improved as part of the project. Cell detecting and counting algorithm is improved with more accuracy by using Matlab. New PCB is designed using PADS to adopt the image sensor with higher resolution (2.2µm * 2.2µm). More cell details can be retained through use of new system. As the rest of the project, a current mode bandgap reference circuit is designed and implemented with a power supply voltage of 3.3V and V_ref is set to approximately 1.2V through 0.18µm TSMC process. The designed circuit can be used for on-chip lensless microfluidic imaging system. The 2nd order temperature compensation technic is used to improve the temperature behavior so that the output voltage reference exhibits a minute dependence on the environment temperature T. The TC of BGR is less than 4 ppm/°C in typical process for a temperature range from -40°C to 125°C and less than 20 ppm//°C in corner simulations. The designed BGR can work perfectly between a power supply voltage range of 2V to 4V in simulation. Bachelor of Engineering 2014-05-27T06:47:39Z 2014-05-27T06:47:39Z 2014 2014 Final Year Project (FYP) http://hdl.handle.net/10356/60456 en Nanyang Technological University 60 p. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering::Electronic circuits Wang, Peng Super-resolution FPGA implementation for medical imaging application |
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A board level lensless microfluidic imaging system is improved as part of the project. Cell detecting and counting algorithm is improved with more accuracy by using Matlab. New PCB is designed using PADS to adopt the image sensor with higher resolution (2.2µm * 2.2µm). More cell details can be retained through use of new system.
As the rest of the project, a current mode bandgap reference circuit is designed and implemented with a power supply voltage of 3.3V and V_ref is set to approximately 1.2V through 0.18µm TSMC process. The designed circuit can be used for on-chip lensless microfluidic imaging system. The 2nd order temperature compensation technic is used to improve the temperature behavior so that the output voltage reference exhibits a minute dependence on the environment temperature T. The TC of BGR is less than 4 ppm/°C in typical process for a temperature range from -40°C to 125°C and less than 20 ppm//°C in corner simulations. The designed BGR can work perfectly between a power supply voltage range of 2V to 4V in simulation. |
author2 |
Yeo Kiat Seng |
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Yeo Kiat Seng Wang, Peng |
format |
Final Year Project |
author |
Wang, Peng |
author_sort |
Wang, Peng |
title |
Super-resolution FPGA implementation for medical imaging application |
title_short |
Super-resolution FPGA implementation for medical imaging application |
title_full |
Super-resolution FPGA implementation for medical imaging application |
title_fullStr |
Super-resolution FPGA implementation for medical imaging application |
title_full_unstemmed |
Super-resolution FPGA implementation for medical imaging application |
title_sort |
super-resolution fpga implementation for medical imaging application |
publishDate |
2014 |
url |
http://hdl.handle.net/10356/60456 |
_version_ |
1772826946375254016 |