we noticed a quantity dependent lowering of area of the nuclei of both treated HGPS and treated control cells, the area of fake treated nuclei was greater than both doses of RAD001 Enzalutamide manufacturer treated nuclei, but the nuclei that received the smaller dose of RAD001 had greater area than the nuclei that received the larger dose. This result indicates the improvement in nuclear shape is a slow process, the area reduction is mostly because of non specific effects of the drug treatment, and incrementtal improvement throughout treatment might be captured and quantified by this curvature outline imaging analysis. One of the hallmarks of HGPS will be the abnormal nuclear design known as blebbing. This has been the principle morphological feature identifying an HGPS cell line and has been used to ascertain the effectiveness of treatments for HGPS. The original method of measuring blebbing is just a manual, blind count of the percentage of blebbed nuclei. Nevertheless, this method does not have any common criteria and is extremely time consuming. Sorting the nuclei into two groups, typical and blebbed, also obscures the fact that blebbing is not an either/or phenomenon, but varies continuously. The subjectivity and variability carcinoid tumor of the threshold for blebbed nuclei makes it impossible to compare values obtained by different counters. . The necessity for a fair, quantitative method of measuring the degree of blebbing in a cell sample is obvious. In a effort towards solving this issue, we present an automated image analysis method because the main measure of blebbing using curvature. We used a custom written system to extract the boundaries of immuno stained nuclei and calculate a curve Everolimus solubility contour for every single nucleus among other measures of form. . We discovered that several measures of the shape separate between HGPS and normal control cell lines. We focused on probably the most intuitive measure, the mean negative curvature, which is the average of all the concave curvatures on the boundary of a nucleus. MNC provides a continuous measure of blebbing which can be used in mathematical and quantitative techniques. We reviewed various seeding densities and exposure times to show that MNC can be a consistent measure that does not differ notably between trials. The cluster analysis also suggests that intensity doesn’t affect the MNC. Ergo MNC values could be compared between experiments and samples, unlike values obtained in the conventional blebbing count method. One caveat is that MNC is affected by pixel size and smoothing, thus care should be taken when evaluating results from different laboratories. Of the other measures that clearly correlate with MNC, according to our clustering analysis, solidity shouldn’t be significantly affected by pixel size or smoothing and thus may be a viable alternative.