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• W2106193886 abstract "Atomic force microscopy (AFM) and other forms of scanning probe microscopy have been successfully used to assess biomechanical and bioelectrical characteristics of individual cells. When extending such approaches to heterogeneous tissue, there exists the added challenge of traversing the tissue while directing the probe to the exact location of the targeted biological components under study. Such maneuvers are extremely challenging owing to the relatively small field of view, limited availability of reliable visual cues, and lack of context. In this study we designed a system that leverages the visual topology of the serial tissue sections of interest to help guide robotic control of the AFM stage to provide the requisite navigational support. The process begins by mapping the whole-slide image of a stained specimen with a well-matched, consecutive section of unstained section of tissue in a piecewise fashion. The morphological characteristics and localization of any biomarkers in the stained section can be used to position the AFM probe in the unstained tissue at regions of interest where the AFM measurements are acquired. This general approach can be utilized in various forms of microscopy for navigation assistance in tissue specimens." @default.
• W2106193886 created "2016-06-24" @default.
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• W2106193886 date "2015-09-07" @default.
• W2106193886 modified "2023-09-27" @default.
• W2106193886 title "Robot-Guided Atomic Force Microscopy for Mechano-Visual Phenotyping of Cancer Specimens" @default.
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• W2106193886 doi "https://doi.org/10.1017/s1431927615015007" @default.
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