Publications by authors named "A S Schmidt"

The Segment Anything model (SAM) is a powerful vision foundation model that is revolutionizing the traditional paradigm of segmentation. Despite this, a reliance on prompting each frame and large computational cost limit its usage in robotically assisted surgery. Applications, such as augmented reality guidance, require little user intervention along with efficient inference to be usable clinically.

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Rhabdomyosarcoma (RMS) tumors arise from mesenchymal tissue and represent half of pediatric sarcomas, which in turn make up 7% of pediatric tumors. Advances in local control therapy of RMS have improved outcomes after surgical resection of the primary tumor, either before or after induction chemotherapy, even in the setting of metastatic disease. The utilization of diagnostic core needle and sentinel node biopsy techniques for lymph node staging are becoming more widely used.

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We present two innovative approaches to investigate the dynamics of membrane fusion and the strength of protein-membrane interactions. The first approach employs pore-spanning membranes (PSMs), which allow for the observation of protein-assisted fusion processes. The second approach utilizes colloidal probe microscopy with membrane-coated probes with reconstituted proteins.

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