High throughput automated characterization of enamel microstructure using synchrotron tomography and optical flow imaging

Guo, Zherui; Guillen, Donna P.; Grimm, Jack R.; Renteria, Cameron; Marsico, C.; Nikitin, Viktor; Arola, Dwayne

doi:10.1016/j.actbio.2024.04.033

Title: High throughput automated characterization of enamel microstructure using synchrotron tomography and optical flow imaging

Journal Article · 25 April 2024 · Acta Biomaterialia

DOI: https://doi.org/10.1016/j.actbio.2024.04.033 · OSTI ID:2403009

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Idaho National Laboratory (INL), Idaho Falls, ID (United States)
Univ. of Washington, Seattle, WA (United States)
Idaho National Laboratory (INL), Idaho Falls, ID (United States); Univ. of Washington, Seattle, WA (United States)
Argonne National Laboratory (ANL), Argonne, IL (United States)

The remarkable damage-tolerance of enamel has been attributed to its hierarchical microstructure and the organized bands of decussated rods. A thorough characterization of the microscale rod evolution within the enamel is needed to elucidate this complex structure. While prior efforts in this area have made use of single particle tracking to track a single rod evolution to various degrees of success, such a process can be both computationally and labor intensive, limited to the evolution path of a single rod, and is therefore prone to error from potentially tracking outliers. Particle image velocimetry (PIV) is a well-established algorithm to derive field information from image sequences for processes that are time-dependent, such as fluid flows and structural deformation. In this work, we demonstrate the use of PIV in extracting the full-field microstructural distribution of rods within the enamel. Further, enamel samples from a wild African lion were analyzed using high-energy synchrotron X-ray micro-tomography. Results from the PIV analysis provide sufficient full-field information to reconstruct the growth of individual rods that can potentially enable rapid analysis of complex microstructures from high resolution synchrotron datasets. Such information can serve as a template for designing damage-tolerant bioinspired structures for advanced manufacturing.

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Research Organization:: Idaho National Laboratory (INL), Idaho Falls, ID (United States); Argonne National Laboratory (ANL), Argonne, IL (United States)

Sponsoring Organization:: USDOE Laboratory Directed Research and Development (LDRD) Program; USDOE Office of Nuclear Energy (NE)

Grant/Contract Number:: AC07-05ID14517; AC02-06CH11357

OSTI ID:: 2403009

Report Number(s):: INL/JOU--23-73282-Rev000

Journal Information:: Acta Biomaterialia, Journal Name: Acta Biomaterialia Journal Issue: - Vol. 181; ISSN 1742-7061

Publisher:: Acta Materialia, Inc.Copyright Statement

Country of Publication:: United States

Language:: English

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Title: High throughput automated characterization of enamel microstructure using synchrotron tomography and optical flow imaging

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