CASUS Institute Seminar, Maria Wyrzykowska, Scultetus Early Career Fellow, Master Student at the University of Wrocław

Abstract of the talk// Recent advances in biomedical image analysis demonstrate the immense promise of computer vision algorithms like convolutional neural networks (CNNs) in tasks like image classification and segmentation. Among other applications, the possibility of virus infection detection in microscopy images from seemingly unrelated signals has previously been demonstrated using CNN classifiers. However, unlike classification, functional staining of proteins of interest in fluorescence microscopy allows visualizing more subtle phenotypic nuances in biological images including the shape and intensity of the signal. These features bear crucial biomedically relevant information including severity and multiplicity of infection. During this presentation, the approaches to the virtual staining of virus-infected cells microscopy will be demonstrated.

CV// Maria graduated with an engineer’s degree in Computer Science from the University of Wrocław in 2022 and is currently pursuing a master’s degree in Data Science at the same institution. She has gained professional experience at Procter & Gamble, nomagic.ai, and as a student researcher at the University of Wrocław.

Maria will be talking live in Görlitz. However, as the event is organized in a hybrid format that includes a videoconferencing tool by Zoom Inc., people interested in the topic have the chance to also join the talk remotely. Please ask for the login details via contact@casus.science.