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Shephard, A.

Publications and source records attributed to Shephard, A..

3 recordsLinked to original sources

Dietary road salt and monarch butterflies: minimal effects on larval growth, immunity, wing coloration, and migration to Mexico

The spectacular migration of the monarch butterfly is under threat from the loss of habitat and the decline of their milkweed host plants. In the northern part of their range, roadsides could potentially produce millions of monarchs annually due to high densities of milkweed, however roadside milkweed can accumulate chemicals from roads, such as sodium from road salt. Controlled lab studies have shown mixed effects of sodium on monarch development: small increases can be beneficial as sodium is an important micronutrient in brain and muscle development, but large increases can sometimes decrease survival. It is unclear how dietary sodium affects performance in ecologically relevant conditions, and the migration itself. In this experiment, we raised monarchs outdoors, in migration-inducing conditions, on milkweed sprayed with three levels of sodium chloride. We released 2500 tagged monarchs and held an additional 250 for further lab assays. While our recovery rates to the wintering grounds were low (N = 7 individuals), individuals from all three sodium chloride treatments made it to Mexico. Butterflies reared on control milkweed and low salt concentrated sodium in their tissues, while those on high salt diets excreted sodium, suggesting levels were above a physiological optimum. There were no effects of treatment on wing coloration, survival, body size, immunity, or parasite prevalence. Taken together, our results suggest that monarchs are robust to levels of sodium in milkweeds found along roadsides, which is promising with respect to monarch conservation efforts that promote roadside habitat. Significance StatementMonarch butterflies are a flagship species for pollinator conservation, and were recently being listed as endangered by the IUCN. Roadside habitat is a target for monarch breeding habitat as they often have high densities of milkweed, the monarch hostplant. However, roadsides can also have high levels of pollutants, such as salt from deicing treatments. We reared monarch caterpillars on sodium treated milkweeds, measuring a suite of performance measures, and releasing nearly 2500 tagged monarchs for migration. We found little effect of salt on migration to Mexico, survival, body size, development time, parasite prevalence, immunity, or coloration. Monarchs appear robust to levels of sodium found in milkweed along roadsides, supporting the possibility of roadsides as habitat.

ecology↗

Proposed Methodology for Reducing Bias in Structural MRI Analysis in the Presence of Lesions: Data from a Pediatric Traumatic Brain Injury Cohort

Traumatic brain injury can lead to multiple pathologic features, including brain lesions, which are visible on magnetic resonance imaging (MRI). These resulting heterogenous lesions can present a difficulty for several standard approaches to neuroimaging, resulting in bias and error in subsequent quantitative measurements. Thus, cases presenting with lesions on MRI may be excluded from analyses, biasing samples across the research field. We outline a potential solution to this issue in the case of Freesurfer, a popular neuroimaging tool for surface-based segmentation of brain tissue from structural MRI. The proposed solution involves two-steps, a) Pre-processing: Enantiomorphic Lesion-Filling and b) Post-processing: Lesion Labelling. We applied this methodology to 14 pediatric TBI cases which presented with lesions on T1w MRI. Following qualitative inspection of these cases after implementation of the approach, 8 out of 14 cases were retained as being of sufficient quality. In brief, we have presented here an adapted pipeline for processing structural MRI (sMRI) of patients who have experienced a TBI using the Freesurfer software package. This approach aims to mitigate potential lesion-induced biases that exist beyond the locality of the pathological tissue, even in the contralesioned hemisphere.

neuroscience↗

TIAToolbox: An End-to-End Toolbox for Advanced Tissue Image Analytics

Computational Pathology (CPath) has seen rapid growth in recent years, driven by advanced deep learning (DL) algorithms. These algorithms typically share the same sequence of steps. However, due to the sheer size and complexity of handling large multi-gigapixel whole-slide images, there is no open-source software library that provides a generic end-to-end API for pathology image analysis using best practices for CPath. Most researchers have designed custom pipelines from the bottom-up, restricting the development of advanced CPath algorithms to specialist users. To help overcome this bottleneck, we present TIAToolbox, a Python toolbox designed to make CPath more accessible to new and advanced CPath scientists and pathologists alike. We provide a usable and adaptable library with efficient, cutting-edge and unit-tested tools for data loading, pre-processing, model inference, post-processing and visualization. This enables all kinds of users to easily build upon recent DL developments in the CPath literature. TIAToolbox provides a user-friendly modular API to enable seamless integration of advanced DL algorithms. We show with the help of examples how state-of-the-art DL algorithms can be streamlined using TIAToolbox.

bioengineering↗