Table 1: List of extracted features.

From: Deep Learning in Label-free Cell Classification

Table 1: List of extracted features.
Feature NameDescriptionCategory
Diameter-RBDiameter along the interrogation rainbow. It is insensitive to flow rate fluctuation. For higher accuracy, it is calibrated by the spatial nonuniform distribution of rainbow wavelengths.Morphology
Diameter-FLDiameter along the flow direction. It is sensitive to flow rate fluctuation, but can be a candidate parameter for monitoring flow speed and channel condition.Morphology
Tight AreaTotal number of pixels in the segmented region in the phase image.Morphology
PerimeterTotal number of pixels around the boundary of each segmented region.Morphology
Circularity4π (Tight Area)/Perimeter2Morphology
Major AxisConsidering the cell as elliptical in lateral imaging plane, the length of the major axis of the ellipse with a normalized second central moment same as the cell.Morphology
OrientationAngle between the flow direction and the major axis of the cell elliptical shape.Morphology
Loose AreaTotal number of pixels in the expanded segmented region for measurement of the pixel intensities.Morphology
Median RadiusThe median distance of any pixel in the object to the closest pixel outside of the object.Morphology
OPD-1Integrated optical path length difference within the entire segmented area (cell), calibrated by the power distribution within different wavelength components of the incident laser pulses.Optical Phase
OPD-2Integrated optical path length difference within the entire segmented area (cell). In addition to the calibration of OPD-1, it is calibrated by the pulse-to-pulse fluctuations within a 1µs detection window.Optical Phase
Refractive indexThe mean refractive index difference between the object and the surrounding liquid (buffer solution), which is calculated based on OPD-2 and size measurement (see detail in Section Methods). Refractive index difference for cells is proportional to their protein concentration.Optical Phase
Absorption-1Mean absorption coefficient within the entire segmented area (cell). It is calibrated by the power distribution within different wavelength components of the incident laser pulses and by the pulse-to-pulse fluctuations within a 1µs detection window. This parameter corresponds to an absorption-dominant model for the cell.Optical Loss
Absorption-2Mean absolute absorption coefficient within the entire segmented area (cell). It is calibrated by the power distribution within different wavelength components of the incident laser pulses and by the pulse-to-pulse fluctuations within a 1µs detection window. This parameter corresponds to an absorption-dominant model for the cell.Optical Loss
Scattering-1Mean optical loss within the entire segmented area (cell). It is calibrated by the power distribution within different wavelength components of the incident laser pulses and by the pulse-to-pulse fluctuations within a 1 detection window. This parameter corresponds to a scattering-dominant model for the cell.Optical Loss
Scattering-2Mean absolute optical loss within the entire segmented area (cell). It is calibrated by the power distribution within different wavelength components of the incident laser pulses and by the pulse-to-pulse fluctuations within a 1µs detection window. This parameter corresponds to a scattering-dominant model for the cell.Optical Loss