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3 results for “Radix balthica”
Response of E3 stage Radix balthica embryos maintained in contrasting temperatures and salinities for 24h
<p>Sample datasets and video acquired using the EmbryoPhenomics platform. Experiment assessing influence of three (20, 25 and 30C) contrasting temperatures and two salinities (0 or 7 ppt) on the development of the aquatic gastropod <em>Radix balthica</em>. Exposure was initiated at the E3 developmental stage at which embryos are undergoing ciliary driven spinning. The EmbryoCV package was used to produce phenome-level data. Datasets and associated video for an individual embryo from each treatment (temperature and salinity combinations).</p>
Development of Radix balthica embryos under contrasting temperatures for the duration of their development
<p>Sample datasets, HR modelling data and video acquired using the EmbryoPhenomics platform. Experiment assessing influence of three (20, 25 and 30C) contrasting temperatures on the development of the aquatic gastropod <em>Radix balthica</em>. Imaging was performed from first cell division to hatching and the EmbryoCV package was used to produce phenome-level data. Datasets and associated video for an individual embryo from each temperature are provided.</p> <p>EmbryoPhenomics datasets can be accessed using the XArray library in Python (or if EmbryoCV is installed see www.embryocv.org for instructions on loading data):</p> <ul> <li>results = xr.open_mfdataset(path_to_file). This will reveal the various data arrays.</li> </ul> <p>EmbryoPhenomics HR data can be loaded using the Numpy library in Python:</p> <ul> <li>hr = np.load(path_to_file)[()]<br> filt = hr[embryoLabel i.e. B3, C5 or D6]<br> </li> </ul>
Response of different embryonic developmental stages of Radix balthica to a 24 h 36°C exposure
<p>Sample datasets and video acquired using the EmbryoPhenomics platform. Experiment assessing influence of culture at 36C for 24 h on three developmental stages (E3, E7 and E9) of the aquatic gastropod <em>Radix balthica</em>. The EmbryoCV package was used to produce phenome-level data. Datasets and associated video for an individual embryo from each developmental stage.</p>
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