https://www.selleckchem.com/products/jsh-150.html Therefore, the present investigation aims to provide a detailed study on the adrenal gland in the Japanese quail to help physiologists understand the gland's function and the pathologist to determine the implications for the differential diagnosis of adrenal gland tumors. HIGHLIGHTS The adrenal gland is subdivided into three concentric zones subcapsular, peripheral, and central. The interrenal cells contain lipid droplets, are arranged in cords. Chromaffin cells are categorized as two types epinephrine (E) and norepinephrine (NE) cells. These cells contain the granules, and are characterized by the presence of lipid droplets. The interrenal tissue was found to have a higher proportion of chromaffin cells in quail because it is a migratory bird.Accurate cerebral neuron segmentation is required before neuron counting and neuron morphological analysis. Numerous algorithms for neuron segmentation have been published, but they are mainly evaluated using limited subsets from a specific anatomical region, targeting neurons of clear contrast and/or neurons with similar staining intensity. It is thus unclear how these algorithms perform on cerebral neurons in diverse anatomical regions. In this article, we introduce and reliably evaluate existing machine learning algorithms using a data set of microscopy images of macaque brain. This data set highlights various anatomical regions (e.g., cortex, caudate, thalamus, claustrum, putamen, hippocampus, subiculum, lateral geniculate, globus pallidus, etc.), poor contrast, and staining intensity differences of neurons. The evaluation was performed using 10 architectures of six classic machine learning algorithms in terms of typical Recall, Precision, F-score, aggregated Jaccard index (AJI), as well as a performance ranking of algorithms. F-score of most of the algorithms is superior to 0.7. Deep learning algorithms facilitate generally higher F-scores. U-net with suitable layer depth