Coherent imaging techniques provide an unparalleled multi-scale view of materials across scientific and technological fields, from structural materials to quantum devices, from integrated circuits to biological cells. Driven by the construction of brighter sources and high-rate detectors, coherent imaging methods like ptychography are poised to revolutionize nanoscale materials characterization. However, these advancements are accompanied by significant increase in data and compute needs, which precludes real-time imaging, feedback and decision-making capabilities with conventional approaches.
View Article and Find Full Text PDFPurpose: To show feasibility of computerized techniques for ocular redness quantification in clinical studies, and to propose an automatic, objective method.
Methods: Software for quantification of redness of the bulbar conjunctiva was developed. It provides an interface for manual and automatic sclera segmentation along with automated alignment of region of interest to enable estimation of changes in redness.
Generalized nucleus segmentation techniques can contribute greatly to reducing the time to develop and validate visual biomarkers for new digital pathology datasets. We summarize the results of MoNuSeg 2018 Challenge whose objective was to develop generalizable nuclei segmentation techniques in digital pathology. The challenge was an official satellite event of the MICCAI 2018 conference in which 32 teams with more than 80 participants from geographically diverse institutes participated.
View Article and Find Full Text PDFObjectives: To compare the removal of simulated biofilm at two different implant-supported restoration designs with various interproximal oral hygiene aids.
Methods: Mandibular models with a missing first molar were fabricated and provided with single implant analogues (centrally or distally placed) and two different crown designs (conventional [CCD] and alternative crown design [ACD]). Occlusion spray was applied to the crowns to simulate artificial biofilm.
Stud Health Technol Inform
June 2018
The state-of-the-art wound assessment is manually performed by clinicians. This is ineffective and imprecise. Special devices have been developed for automation, but they are expensive and often lack portability.
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