| Target audience: Students, researchers, public health experts, health policy makers and professionals | |
| 15:30-16:30 | Presentation |
| 16:30-17:00 | Discussion and coffee |
Focus
I will guide you through the role of image processing in advancing single-cell proteomics, a field that allows us to analyse protein expression at an unprecedented resolution. By leveraging novel computational tools, we can overcome challenges in segmentation, feature extraction, and spatial proteomics analysis.
Real-life example
To make this more tangible, I will present recent advancements in single-cell spatial proteomics, highlighting how image processing techniques have improved high-resolution protein analysis in complex biological samples, including cancer tissues.
What you’ll learn
How deep learning refines single-cell detection and how we identify unique protein signatures. We also learn how these tools contribute to precision oncology and neuroscience
Why this matters
Single-cell proteomics is revolutionising our understanding of diseases by uncovering cellular heterogeneity. Image processing techniques are key to making sense of complex datasets, leading to more precise diagnostics and therapeutic strategies.
Future directions
Looking ahead, I will explore how integrating multi-omics data with image analysis could push single-cell proteomics even further, paving the way for new breakthroughs in clinical applications.
Takeaway
By advancing image processing in single-cell proteomics, we unlock deeper insights into cellular behaviour, driving innovation in biomedical research and personalised medicine.
About the lecturer
Mohammadreza Azimi is an accomplished researcher with extensive expertise in Bio Image Processing, Single cell Data Processing and AI. Currently, he is working in the Institute of Microbiology and Virology at the Rīga Stradiņš University in Latvia as a tenured professor.
He holds dual PhDs from the University of Tehran in Aerospace Engineering and the Warsaw University of Technology in Computer Science. Mohammadreza is a visiting scientist and used to be a Postdoctoral Researcher at the Royal College of Surgeons in Ireland, where his research involved advanced image processing techniques to analyse multiplexed immunofluorescence tissue images.
During last few years, his work spans multiple domains, including security and privacy in personal voice assistants, mobile biometrics, transfer learning and bio image processing. His impressive publication record (google scholar i10-index = 27, citations > 800) reflects his diverse interests and contributions to both AI and biomedical sciences. He has been the recipient of several prestigious fellowships, including the Marie Skłodowska-Curie Fellowship and funding from the Health Research Board in Ireland. Dr. Azimi is also actively engaged with the academic community, serving as an invited reviewer for numerous high-impact journals.
With a multidisciplinary background and a strong track record of impactful research, Dr. Azimi continues to push the boundaries of knowledge in AI and Healthcare.
Location
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