  Summary: Medical researchers obtain knowledge about the prevention and
treatment of disability and disease using physical measurements and image data.
To assist in this endeavor, feature extraction packages are available that are
designed to collect data from the image structure. In this study, we aim to
augment current works by adding to the current mix of shape-based features. The
significance of shape-based features has been explored extensively in research
for several decades, but there is no single package available in which all
shape-related features can be extracted easily by the researcher. PyCellMech
has been crafted to address this gap. The PyCellMech package extracts three
classes of shape features, which are classified as one-dimensional, geometric,
and polygonal. Future iterations will be expanded to include other feature
classes, such as scale-space.
  Availability and implementation: PyCellMech is freely available at
https://github.com/icm-dac/pycellmech.
