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. 2023 Apr 18;4(2):102236. doi: 10.1016/j.xpro.2023.102236

Table 2.

Setup to recognize nuclei in CellPathfinder

Parameter Note
ImageFIlter [1] Gaussian IN Previous Output Mask Size (μm) Set to 1.0 μm for HeLa cells.
Binarization [2] DynamicThreshold IN Previous Output Mask Size (μm)
Detect Factor
Min. Gray Offset [gray level]
BinarizeTransform [3] ClosingCircle IN Previous Output Diameter (μm) Adjust the value depending on the staining intensity.
[4] OpeningCircle IN Previous Output Diameter (μm)
[5] Find MaximumDistance IN Previous Output Minimum Point Distance (μm)
Remove Size (μm)
[6] DilationCircle IN Previous Output Diameter (μm) Set to 5.0.
Labeling [7] Labeling IN Previous Output
[8] Labeling IN Nucleus [4] OpeningCircle
LabelTransform [9] ExpandRegion3D IN Nucleus [7] Labeling, Nucleus [8] Labeling
[10] CompactnessFilter(2D) IN Previous Output Range Recognize the nuclei with abnormal shapes.
[11] SizeFilter IN Previous Output Range Adjust the value depending on the cell type or the treatment.
[12] Subregion IN Nucleus [9] ExpandRegion-3D, Nucleus [10] Compactness-Filter(2D) Exclude the nuclei with abnormal shapes.
[13] ErodeRegion IN Previous Output Length (μm) Recognize the dots at the interface between the nucleus and the cytoplasm.

This table shows how to set algorithm for the recognition of nuclei. See step 8e i.