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This invention introduces a system for microscopy called pan-sharpening, enabling the generation of images with both full-spatial and full-spectral resolution without needing to capture the entire dataset, significantly reducing data acquisition time.
This innovative approach combines optical and spectral imaging data via machine learning to accurately predict cancer labels directly from tissue images.
This technology introduces an advanced machine learning approach for enhancing chemical imaging by correlating data from two mass spectrometry imaging (MSI) techniques.
Adhesive and sealant materials are crucial in construction, automotive, and electronics industries. However, most adhesives fail under stress or environmental conditions like dust, water, or wear.
Aromas play a significant role in the quality and safety of food, beverages, and even manufactured products. The ability to detect and interpret these aromas accurately can enhance product safety and consumer satisfaction.
Application of thermally anisotropic composite materials coupled with a heat sink/source can redirect and reduce heat flows through a building envelope (walls and roofs).