Survey statistics of automated segmentations applied to optical imaging of mammalian cells

BMC Bioinformatics

Table 1 Seven main classification criteria of publications (columns) and their categories

Object of interest	Imaging modality	Data axes	Segmentation	Segmentation evaluation	Segmentation acceleration	Object^ameasurement
Cell	Phase contrast	X-Y-T	Active contours + Level Set	Visual inspection	Cluster	Geometry
Nucleus	Differential interference contrast	X-Y-Z	Graph-based	Object-level evaluation	Graphics Processing Unit (GPU)	Motility
Synthetic (digital model)	Bright-field	X-Y-Z-T	Morphological	Pixel-level evaluation	Multi-core CPU	Counting
Synthetic (reference material)	Dark-field		Other	Technique is not specified	Single-core Central Processing Unit (CPU)	Location
Other	Confocal fluorescence		Partial Derivative Equations	Unknown	Unknown	Intensity
	Wide-field fluorescence		Region growing
	Two-photon fluorescence		Thresholding
	Light sheet		Watershed

^aObject refers to the categories of an object of interest and clusters of objects

ISSN: 1471-2105