Seeing Cells Clearly: Evaluating Machine Vision Strategies for Microglia Centroid Detection in 3D Images
This work addresses the problem of accurately analyzing microglia shape for brain health research, but it is incremental as it compares existing tools without introducing new methods.
The study tested three machine vision tools (ilastik, 3D Morph, and Omnipose) for detecting microglia centroids in 3D microscope images, finding that each tool interprets cells differently, which impacts the information derived from the images.
Microglia are important cells in the brain, and their shape can tell us a lot about brain health. In this project, I test three different tools for finding the center points of microglia in 3D microscope images. The tools include ilastik, 3D Morph, and Omnipose. I look at how well each one finds the cells and how their results compare. My findings show that each tool sees the cells in its own way, and this can affect the kind of information we get from the images.