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<p class="MsoNormal"><span style="font-size:11.0pt">Dear all,<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">Please join us in <a href="https://map.arizona.edu/107">
<b>Marley 230</b></a> <b>at 4:00 PM</b> <b>today f</b>or a seminar presented by Elizabeth Berrigan, Salk Institute for Biological Studies, San Diego, CA. Dr. Alex Bucksch will serve as the host.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">Zoom link: <a href="https://arizona.zoom.us/j/84253432688">
https://arizona.zoom.us/j/84253432688</a> (password: <b>SPLS2025</b>).<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt">Refreshments will be provided in the Marley Lobby at 3:30 PM.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:11.0pt">Title: Automated Root System Phenotyping Using Deep Learning<o:p></o:p></span></b></p>
<p class="MsoNormal"><b><span style="font-size:11.0pt"><o:p> </o:p></span></b></p>
<p class="MsoNormal"><b><span style="font-size:11.0pt">Abstract</span></b><span style="font-size:11.0pt">: High-throughput root phenotyping is essential for understanding plant development, stress resilience, and crop improvement. In this talk, I will present
an automated, deep learning-based pipeline for root system phenotyping that leverages pose estimation to extract morphological traits with high accuracy and minimal annotation. By integrating machine learning model generalization techniques with scalable data
management and MLOps pipelines, we enable reproducible and efficient root trait analysis across diverse species. This approach significantly reduces manual effort, improves model robustness, and facilitates large-scale, data-driven discoveries in plant biology.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><b><span style="font-size:11.0pt">Bio:</span></b><span style="font-size:11.0pt"> Elizabeth has a master’s in physics from the University of Chicago where she studied the relationship between hydrodynamics and string theory. As an undergraduate,
she spent time at MIT studying the time evolution of entanglement entropy using the holographic principle in a system approaching equilibrium to understand how different quantum subsystems are correlated over time with Professor Hong Liu. After her Master’s,
she went home to New Hampshire and worked on a farm and at a community art center that sold sustainably made crafts. She is excited to be in the Busch Lab, using her quantitative skills to serve HPI’s goals. She is interested in developing deep learning pipelines
for image analysis of roots in crops and using machine learning techniques for data analysis. She is at the greenhouse in Encinitas working alongside the phenotyping team as a bioinformatics analyst I. When she isn’t phenotyping roots, Elizabeth is tutoring
math and physics or enjoying sustainable crafts such as wood-burning and making botanical dyes. She loves the outdoors.<o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal"><span style="font-size:11.0pt"><o:p> </o:p></span></p>
<p class="MsoNormal" style="margin-bottom:12.0pt"><span style="font-size:10.0pt;font-family:"Courier New";mso-ligatures:none">===============================================================<br>
</span><b><span style="font-size:20.0pt;font-family:"Vladimir Script";mso-ligatures:none">Zhongguo Xiong</span></b><span style="font-size:10.0pt;font-family:"Courier New";mso-ligatures:none"> <br>
School of Plant Sciences BIO5 Institute<br>
BIO5 Email: <span style="color:blue"><a href="mailto:zxiong@arizona.edu"><span style="color:blue">zxiong@arizona.edu</span></a></span>
<br>
Phone: (520)-621-9869<br>
Forbes 303, P.O. box 210036 Fax: (520)-621-7186<br>
University of Arizona <br>
Tucson, AZ 85721-0036 <span style="color:blue"><a href="http://ag.arizona.edu/~zxiong"><span style="color:blue">http://ag.arizona.edu/~zxiong</span></a></span><br>
===============================================================</span><span style="font-size:11.0pt;mso-ligatures:none"><o:p></o:p></span></p>
<p class="MsoNormal"><o:p> </o:p></p>
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