  Segmentation, or the outlining of objects within images, is a critical step
in the measurement and analysis of cells within microscopy images. While
improvements continue to be made in tools that rely on classical methods for
segmentation, deep learning-based tools increasingly dominate advances in the
technology. Specialist models such as Cellpose continue to improve in accuracy
and user-friendliness, and segmentation challenges such as the Multi-Modality
Cell Segmentation Challenge continue to push innovation in accuracy across
widely-varying test data as well as efficiency and usability. Increased
attention on documentation, sharing, and evaluation standards are leading to
increased user-friendliness and acceleration towards the goal of a truly
universal method.
