Publications by authors named "Dominic Eggemann"
Artificial communication with the brain through peripheral nerve stimulation shows promising results in individuals with sensorimotor deficits. However, these efforts lack an intuitive and natural sensory experience. In this study, we design and test a biomimetic neurostimulation framework inspired by nature, capable of "writing" physiologically plausible information back into the peripheral nervous system.
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- Image quality issues from subject movement can compromise the accuracy of bone assessments using high-resolution peripheral quantitative computed tomography (HR-pQCT), leading to potentially unusable data from scans.
- Traditional methods for scoring motion artifacts are slow and subjective, risking the acceptance of poor-quality scans that can misrepresent patient conditions.
- This study presents a Convolutional Neural Network (CNN) that automates the prediction of motion scores from HR-pQCT images, achieving high accuracy and reliability, which could streamline quality control in clinical use.
Article Synopsis
- Researchers created quartz nanopipettes with tiny holes (~10 nm) that are equipped with aptamers to specifically detect serotonin.
- These nanopipettes can sense very low amounts of serotonin in complex environments, like where neurons are grown in lab conditions, showing high sensitivity.
- The study also discusses the detection mechanism through advanced techniques and proposes a new theoretical model to explain how aptamers change shape during detection, suggesting these tools could be useful for various biological applications.