Statistical Bioinformatics Seminar: Dr Xufeng Lin

Title: 3D Cells Motion Analysis for Investigating Apoptotic Cell Clearance in Germinal
Centres 

Speaker: Dr Xufeng Lin (Garvan Institute) 

Abstract: This presentation explores the application of advanced 3D cell motion analysis
techniques to investigate apoptotic cell clearance within germinal centers (GCs) of
lymph nodes, a process potentially linked to systemic lupus erythematosus (SLE)
pathogenesis.  Employing cutting-edge 3D cell segmentation, tracking, and classification
methods, we aim to gain unprecedented insights into the behaviors and interactions of
cells within GCs, focusing on tingible body macrophages (TBMs) and apoptotic GC B
cells.  By visualizing and quantifying the dynamics of cell motion, we seek to elucidate
the relationship between defective clearance and loss of B cell tolerance.  This
research aims to advance our understanding of SLE pathogenesis and showcase the
effectiveness of 3D cell motion analysis in unraveling complex cellular processes in
immune responses.  

About the speaker: Dr Xufeng Lin is a Senior Computational Scientist in the
Computational Biology Group, Data Science Platform, at Garvan Institute of Medical
Research.  He received his PhD in Computer Science in 2017 and previously held positions
as a Research Fellow in Computer Vision at Deakin University (2019-2022) and an
Associate Lecturer in Computing at Charles Sturt University (2017-2019).  His research
interests encompass Computer Vision, Machine Learning, and Multimedia Forensics.  Dr.
Lin has authored one book chapter and over twenty papers in top-tier journals and
international conferences.  He holds two patents and received the Best Paper Award at
the 15th IEEE International Conference on Advanced Video and Signal-based Surveillance
in 2018.  Actively engaged in international collaborations, he was a Marie Curie
Research Fellow at South China University of Technology in 2016, supported by the EU
Horizon 2020 IDENTITY project, and a Visiting Researcher at the University of Salzburg
in 2015, funded by the European Cooperation in Science and Technology (COST) Action
IC1106.  

This event will be held in-person and online.  

Zoom: https://uni-sydney.zoom.us/j/84087321707