⚡ Article Synopsis: In this article, we highlight a previous webinar case study where we utilized AI deep learning techniques to improve the accuracy and turn-around time for quantification of cytotoxic T-cell (CD8 marker), macrophage (F4/80 marker), and vasculature...
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The integration of Deep Learning methods to improve Nuclei Detection and Segmentation
In this article, we will briefly discuss different methods to detect and segment nuclei and in particular, give examples of how artificial intelligence (AI) Deep Learning (DL) methods are increasingly being applied within our organisation to streamline our image...
Using AI to assess Tertiary Lymphoid Structures in H&E and mIF stained Liver tissue
Following on from our previous article on Tertiary Lymphoid Structures (TLS), in which OracleBio clinical pathologist Gabriele Kohnen discussed the potential role of Tertiary Lymphoid Structures in normal and diseased tissues, this article describes some recent work...
Using Deep Learning to address Staining Variance across Multiplex IF images
Multiplex IF assays are highly valuable in generating data that enables a deeper understanding of cell phenotypes, their functional status, and spatial relationships within tissues across different diseases or therapeutic interventions. However, the staining of...
Improving Colorectal Cancer Prognosis Using Deep Learning
Currently, digital pathology is undergoing a revolution owing to recent developments in the field of artificial intelligence (AI). Tasks that were previously thought too complex for machine learning to be able to handle are now being accomplished and applied to great...