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SUMMARY:The lazy way of pathological images analysis in the era of large models
DESCRIPTION:Statistical Bioinformatics SeminarDr Yimin Zheng\, CeMM Research Center for Molecular Medicine\n\n\n\nThis was an online event held via Zoom. \n\n\n\n\n\n\n\n\n\n\n\nHistopathological 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. \n\n\n\nRecent 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. \n\n\n\nIs there a way to analyze pathology images as intuitively as we analyze single-cell data? The answer is yes! \n\n\n\nIn 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. \n\n\n\nGet started with LazySlide in no time: https://github.com/rendeirolab/LazySlide \n\n\n\n\n\n\nSubscribe to our seminar mailing list\n\n\n\n\n→\n\n\n\n\n\n\n\nFind out more about the Statistical Bioinformatics seminar series\n\n\n\n\n\n→\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\nDr Yimin Zheng\n\n\n\nDr 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.
URL:https://spds.sydney.edu.au/event/the-lazy-way-of-pathological-images-analysis-in-the-era-of-large-models/
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