Abstract: A system and method for object monitoring, detection, and segmentation in electro-optical (EO) satellite imagery data comprising an image processing engine configured to prepare EO data for analysis by an inference engine which utilizes one or more trained models to perform object detection or image segmentation. The workflow begins with ingesting satellite data, followed by de-hazing to remove atmospheric interference. Image enhancement improves resolution and geo-registration ensures precise spatial alignment. The processed image is then fed into a machine learning-based object detection or image segmentation network, trained to identify specific objects of interest. This integrated approach leverages advanced technologies to extract actionable insights from satellite data, enabling efficient and precise object monitoring, detection, and segmentation.

Abstract: Surface-modified cell containing a cell and a conformal coating on the extracellular surface of the cell are described. The conformal coating contains two or more layers containing particles (e.g. nanoparticles) or macromolecules. The cell is an islet cell, a B cell, or a T cell. The macromolecules or particles are formed from zwitterionic polymers. Covalent linkages are employed to link the particles or macromolecules to a cell surface molecule containing an abiotic functional group, or between macromolecules and/or particles in adjacent layers. Also described are methods of making and using a surface-modified cell.