We give an account of an effort to make quantitative morphological distinctions between motoneurons of the frog innervating functionally different groups of muscles involved in the movements of the tongue. The protractor, retractor, and inner muscles of the tongue were considered on the basis of their major action during the prey-catching behavior of the frog. Motoneurons were selectively labeled with cobalt lysin through the nerves of the individual muscles, and dendritic trees of successfully labeled neurons were reconstructed. Each motoneuron was characterized by 15 quantitative morphological parameters describing the size of the soma and dendritic tree and 12 orientation variables related to the shape and orientation of the dendritic field. The variables were subjected to multivariate discriminant analysis to find correlations between form and function of these motoneurons. According to the morphological parameters, the motoneurons were classified into three functionally different groups weighted by the shape of the perikaryon, mean diameter of stem dendrites, and mean length of dendritic segments. The most important orientation variables in the separation of three groups were the ellipses describing the shape of dendritic arborization in the horizontal, frontal, and sagittal planes of the brainstem. These findings indicate that characteristic geometry of the dendritic tree may have a preference for one array of fibers over another.
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http://dx.doi.org/10.1002/cne.20006 | DOI Listing |
Eye (Lond)
January 2025
Department of Ophthalmology, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Purpose: To utilize optical coherence tomography (OCT) and SS-OCT angiography (SS-OCTA) for quantifying morphological changes seen in eyes with recalcitrant neovascular age-related macular degeneration (nAMD) transitioned to intravitreal faricimab injections during the manufacturer's recommended induction phase of treatment.
Methods: Fifty-four treatment-recalcitrant patients (60 eyes) were recruited. OCT and SS-OCTA images were obtained at 0 and 3 months.
Environ Res
January 2025
Man-Technology-Environment Research Center (MTM), Örebro University, Örebro SE-701 82, Sweden.
As the volume of plastic waste from electrical and electronic equipment (WEEE) continues to rise, a significant portion is disposed of in the environment, with only a small fraction being recycled. Both disposal and recycling pose unknown health risks that require immediate attention. Existing knowledge of WEEE plastic toxicity is limited and mostly relies on epidemiological data and association studies, with few insights into the underlying toxicity mechanisms.
View Article and Find Full Text PDFSTAR Protoc
January 2025
Heinz-Nixdorf-Chair of Biomedical Electronics, TranslaTUM, School of Computation, Information and Technology, TUM, Germany; Munich Institute of Biomedical Engineering, TUM, Germany. Electronic address:
Blood cell aggregates are clinically useful biomarkers in a number of medical disorders. This protocol provides accurate and quantitative analysis of cell aggregates using a small volume of whole blood and imaging flow cytometry. We describe steps for sample collection, staining, and measurement.
View Article and Find Full Text PDFPathogens
January 2025
UMR INTERTRYP University Montpellier, IRD, CIRAD, F-34398 Montpellier, France.
Morphometry is an effort to describe or measure the morphology of the body, or parts of it. It also provides quantitative data on the interactions of living organisms with their environment, external or internal. As a discipline, morphometrics has undergone significant developments in the last decade, making its implementation more visual and less laborious.
View Article and Find Full Text PDFSensors (Basel)
January 2025
College of Science and Technology, Ningbo University, Ningbo 315000, China.
The quality of surface morphology can reflect the electrical performance of silver-based contacts. Existing research on the correlation of morphological-electrical performance is based solely on empirical models from traditional visual inspections and only considers the impact of visually observable macro-textural features on electrical performance. However, the influence of micro-textural features on electrical performance should not be overlooked.
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