Legion Amp Webinar: Fiber Tip Tracking With Photoacoustic Imaging by Using Legion AMP

Date: March 24, 2022

Time: 07:00 PM (CST)

Fiber Tip Tracking With Photoacoustic Imaging by Using Legion AMP

Overview:

The Legion AMP webinar series is hosted by PhotoSound Technologies Marketing Specialist’s Sarah Argo. In the second webinar of the Legion Amp Webinar Series, Samuel Toler (System Test Engineer I), discussed the Legion Amp design, motivation, and benefits in relation to how it could optimize your research. Samuel John and Dr. Yan Yan, from the Photoacoustic & Ultrasonic Research & Engineering (PURE) Laboratory, led by Dr. Mohammad Mehrmohammadi at Wayne State University, shares a live demo of the Legion Amp along along with their research to cover fiber tip tracking with photoacoustic imaging by using the Legion Amp.

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  • Topics Covered:
    • Legion Amp design
    • Legion Amp motivation
    • Legion Amp noise measurements
    • Legion Amp variations
    • Objective of studies
    • Legion Amp demo
    • Results of studies
On Demand
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About This Product

The LEGION AMP is a high channel count, compact footprint preamplifier for integration with third party analog-to-digital converters; Boosting detection of small signals by +40 dB while minimizing background noise (high transmit voltages not supported).

 

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About the Speaker:

Sam Toler

System Test Engineer I
Sam Toler earned his bachelor of science degree in Biomedical Engineering from the Texas A&M University. No matter if its software or hardware, as the Systems Test Engineer, Sam Toler strives to ensure quality products. As the main contact for technical support, he handles all service requests and inquiries with care and due diligence. In the background, he utilizes his hands-on experiences with microcontrollers, electronics, and software to improve quality systems during design and production.

Yan Yan, Ph.D.

Postdoc @Wayne State University Integrative Bioscience Center

Dr. Yan Yan is a research scientist from the Photoacoustic & Ultrasonic Research & Engineering (PURE) Laboratory, led by Dr. Mohammad Mehrmohammadi at Wayne State University. He holds a bachelor’s degree in Computer Science and Telecommunication from the Post and Telecommunication of Chongqing University, a master’s degree in Computer Science, and a doctorate in Biomedical Engineering from Wayne State University. His research focused on developing the new generation, multi-parametric acoustic imaging device for fetal and maternal care. His areas of interest are Medical Device Development, Medical Image, Machine Learning, and Data Mining.

Samuel John

M.S, PhD student @Wayne State University Integrative Bioscience Center

Samuel John is a 4rth year PhD student in the Functional and Molecular Ultrasound Research Laboratory at Wayne State University. He is also currently pursuing the dual-title degree in Biomedical Imaging. He has completed his master’s in biomedical engineering in Wayne State University. His research is focused on utilizing photoacoustic imaging for enhancing image guided procedures. He has also published several journals and conference proceedings related to photoacoustic imaging for image-guided procedures: https://scholar.google.com/citations?user=cZaIDRMAAAAJ&hl=en He has also served as a reviewer for IEEE Access journal (https://publons.com/researcher/3489407/samuel-john/). Two patent disclosures have been filed on his research works. He is the recipient of the dual title program in biomedical imaging. He has won many hackathons, poster competitions, conducts microcontroller design workshops for students.