Xenopus tissue data for testing segmentation models

<pre>This dataset is of xenopus tissue imaged with the following settings and it comes with a trained UNET model for performing the segmentation of such tissues. In order to use the segmentation model please install the vollseg-napari plugin from the napari hub and the model will be automatically downloaded for usage. Dataset was acquired by Mari Tolonen and Jakub Sedzinski, (0000-0002-4395-9022,0000-0002-1788-0329) at the university of Copenhagen and the model was trained by Varun Kapoor at Kapoorlabs. A&nbsp;Z projection of 21 Z slices acquired by the ImageJ Z Projection plugin was performed on the original acquired data. ObjectiveSettings ID=&quot;Objective:0&quot; Medium=&quot;Water&quot; RefractiveIndex=&quot;1.333&quot;</pre> <pre>LensNA=&quot;1.2000000000000002&quot; Model=&quot;C-Apochromat 40x/1.2 W AutoCorr M27&quot; NominalMagnification=&quot;40.0&quot;</pre> <pre>Physical Size X=&quot;0.6918881841365326&quot; Physical Size X Unit=&quot;&micro;m&quot; </pre> <pre>Physical Size Y=&quot;0.6918881841365326&quot; Physical Size Y Unit=&quot;&micro;m&quot; </pre> <pre>Physical Size Z=&quot;2.0&quot; Physical Size Z Unit=&quot;&micro;m&quot;</pre> <pre>Time interval frames 1-160: 182 sec Time interval frames 161-262: 283 sec</pre> <pre>SignificantBits=&quot;8&quot; Type=&quot;uint8&quot;&gt;</pre> <pre>Channel AcquisitionMode=&quot;LaserScanningConfocalMicroscopy&quot; ExcitationWavelength=&quot;488.0&quot; ExcitationWavelengthUnit=&quot;nm&quot; Fluor=&quot;EGFP&quot;</pre>