Abstract:
Here, we report a novel method for automated characterization of bulk tissue 3D spatial properties based on reverse engineering-driven non-planar tool path planning and r...Show MoreMetadata
Abstract:
Here, we report a novel method for automated characterization of bulk tissue 3D spatial properties based on reverse engineering-driven non-planar tool path planning and robotically-directed sensing. The method incorporates information on object (e.g., tissue) and inspection tool (e.g., sensor) geometry for automated inspection of tissue mechanical and dielectric properties across macroscopic nonplanar domains as large as 44 cm2. The process avoids the need for manual sensor-tissue integration processes. The impact and the utility of the method were demonstrated by automated mapping of 3D spatial distributions of mechanical and dielectric properties of plant and animal tissues using multiple complementary impedimetric-based sensors of varying types and form factor, including rigid micro-electromechanical systems (MEMS) and flexible multi-functional fibers. Applications to automated characterization of food quality (e.g., type and age) are provided, including 3D spatial mapping of plant and animal tissue mechanical and dielectric property distributions. Ultimately, automated methods for 3D spatial inspection of plant and animal tissue properties are critical to agriculture, food processing, organ transplantation, and biomanufacturing industries.Note to Practitioners—This article is motivated by the need for automating the inspection of soft 3D biological objects. Here, we present a method that generates 3D quality maps of tissue properties using several sensors. The proposed tool path planning program outputs a customized tissue-conforming path for inspection based on the topographical features of the tissue. Hence, this method enables high-throughput, spatially-resolved, minimally-invasive, and reliable inspection of soft 3D biological objects. Applications to inspection of food quality were provided using two impedimetric-based sensors. Practitioners can directly apply the framework to inspection of other tissue properties and soft objects. This work provides an adv...
Published in: IEEE Transactions on Automation Science and Engineering ( Volume: 21, Issue: 3, July 2024)