Statistical Bioinformatics Seminar: Dr Yimin Zheng (CeMM Research Center for Molecular Medicine)

Speaker: Dr Yimin Zheng, CeMM Research Center for Molecular Medicine 

Abstract: Histopathological slides remain the gold standard for disease diagnosis and
the study of tissue architecture and pathology, offering an exceptionally rich yet often
underutilized source of biomedical information.  Unlike single-cell datasets, pathology
slides are readily available in clinical workflows and comparatively inexpensive to
generate.  

Recent advances in foundation models have transformed our ability to extract meaningful
insights from image data, leading to a surge of high-impact studies leveraging pathology
images for survival prediction, subtyping, spatial integration, and more.  However, for
many bioinformaticians and systems biologists, the field of image analysis still feels
inaccessible because of steep technical barriers: diverse file formats, fragmented
tools, and a lack of intuitive frameworks for exploration and analysis.  

Is there a way to analyze pathology images as intuitively as we analyze single-cell
data? The answer is yes! 

In this talk, I will introduce LazySlide, an open-source platform for pathology image
analysis specifically designed for users scientists already comfortable with tools like
Scanpy and AnnData.  LazySlide supports multiple image formats and enables interaction
with large models.  This talk will demonstrate how LazySlide empowers scientists to
“analyze images with text” and incorporate rich histopathological information into
multi-omics workflows, without needing to become image processing experts.  Whether
you’re studying cancer progression, tissue aging, or immune landscapes, LazySlide
unlocks a new dimension of spatial and morphological context at scale.  

Get started with LazySlide in no time: https://github.com/rendeirolab/LazySlide 

About the speaker: Dr Yimin Zheng is Postdoctoral Fellow at CeMM Research Center for
Molecular Medicine at Vienna, Austria.  He comes from a spatial biology background.  His
current research focuses on understanding cancer metastasis and aging from a multimodel
pathological imaging perspective.  He is also an open source contributor to multiple
scientific software projects and a big-fan on visualization who has developed the
composable visualization package of Marsilea.  

This event will be held online.  

Zoom: https://uni-sydney.zoom.us/j/85114748391