Table 1 Features extracted from deconvoluted cytoskeletons (DCF), line segment rearrangements (LSF) and graphs (CNF).

Deconvoluted cytoskeleton features (DCF)

NA

NA

NA

NA

Skew

Skewness of intensity distribution

1

Bundling

CV

Coefficient of variation of intensity distribution

2

Bundling

AFI

Average Fiber Intensity

3

Quantity

D_CN

Nucleus-cytoskeleton centroid distance

4

Cyto-Nuc int.

\(\:{D}_{CN}^{W}\)

Weighted nucleus-cytoskeleton centroid distance

5

Cyto-Nuc int.

A_N/A_C

Nucleus-cytoskeleton area ratio

6

Cyto-Nuc int.

Line segment features (LSF)

\(\:{L}_{i}^{l}\)

Line lengths

7

Morphology

N_l

Number of lines

-

Quantity

\(\:{\theta\:}_{i}\)

Angle between line segments and horizontal axis

8

Orientation

N_l/A_C

Number of lines per cell area

-

Compactness

\(\:{D}_{i}\)

Distance between midpoint and nucleus’ centroid

9

Cyto-Nuc int.

RS

Highest radial score

12

Radiality

\(\:{{\upalpha}}_{i}\)

Smallest angle between anchor point and midpoint

10

Radiality

D_RS

Distance between (x* ,y*) and (x_N ,y_N)

13

Radiality

\(\:R{S}_{x,y}\)

Radiality from the pixel (x,y)

11

Radiality

CVar

Circular variance

16

Orientation

\(\:{\theta\:}_{i}^{c}\)

Mean angle difference between the c closest lines

14

Parallelism

OOP

Orientational Order Parameter

17

Orientation

\(\:{l}_{i}^{c}\)

Mean distance of the c closest lines

15

Bundling

Cytoskeleton network features (CNF)

\(\:{L}_{i}^{E}\)

Branch lengths

18

Morphology

FD

Fractal dimension

20

Complexity

T_i

Tortuosity

19

Morphology

N_E

Number of edges (branches)

-

Quantity

(i.c),(e,e)

(j,e),(j,j)

Branch connectivity type

-

Connectivity

R_(i.c), R_(e,e)

R_(j,e), R_(j,j)

Ratio of each connectivity type

-

Connectivity