Table 2:
Software | Implementation | Segmentation | Deep learning support |
---|---|---|---|
BACMMAN [14] / DistNet [39] | ImageJ plugin | 2D | ✓ |
DeLTA [11,36] | Python package | 2D | ✓ |
napari-MM3 [31], this work | napari plug-in | 2D | ✓ |
SAM [35] | MATLAB | 2D | |
MMHelper [13] | ImageJ plugin | 2D | |
MolySo [12] | Python package | 1D | |
MoMa [37] | ImageJ plugin | 1D |
A comparison of several published imaging methods. ‘2D’ or ‘1D’ segmentation indicates whether the cells are labeled in an image and analyzed in two dimensions, or projected onto a vertical axis and analyzed in one dimension. Several tools support the use of deep learning (as compared to classical computer vision techniques, such as Otsu’s method).