Evaluating Cellpose SAM as a segmentation algorithm for downstream cell morphology analysis

<p dir="ltr">• It is known that exposing cells to chemicals can alter their morphology, for example Dimethyl Sulfoxide (DMSO) or Okadaic acid induceapoptosis, a programmed cell death characterised in part by cell membrane shrinkage and cytoplasm condensation [1].</p><p dir="ltr">• To investigate the phenotypical changes of individual cells within a monolayer, the cell membranes need to be segmented.</p><p dir="ltr">• Our aim was to optimise Cellpose SAM as a segmentation tool and to evaluate whether the morphological changes associated with cell death impact segmentation performance.</p><p dir="ltr">• This was achieved by segmenting images of cell monolayers before and after treating them with an apoptosis inducing agent, henceforth known as ‘untreated’ and ‘treated’ images, respectively.</p><p dir="ltr"><br></p><p dir="ltr"><br></p><p dir="ltr">Poster presented as part of the Crick BioImage Analysis Symposium 2025.</p><p dir="ltr">Permission has been given by authors to upload to Crick Figshare. Copyright remains with the original authors.</p>