Dataset Tracht6A

Spines Nonspines

1

ManuallyScored Spines

Dataset Tracht6A

Principal factors in the algorithm

Parameters Values

Intensity threshold 2

Connected components size

100

Anisotropic Diff k 800

Anisotropic Diff t 2

Critical pts vector magnitude

0.14

High curvature threshold

0.2

IW-MST edge range

8

Graph prune size 4

Graph morph strength

70

MDL weight factorα

0.70

Extra spine offset 1.5

MDL algorithm

Missed spinesFalse spines

2

Dataset Tracht6A

Morphology method

without MDL

Missed spinesFalse spines

Principal factors in the algorithm

Parameters Values

Intensity threshold 2

Connected components size

100

Anisotropic Diff k 800

Anisotropic Diff t 2

Critical pts vector magnitude

0.15

High curvature threshold

1.5

IW-MST edge range

10

Graph prune size 4

Graph morph strength

70

3

Dataset Tracht7A

Spines Nonspines

4

ManuallyScored Spines

Dataset Tracht7A

Principal factors in the algorithm

Parameters Values

Intensity threshold 2

Connected components size

100

Anisotropic Diff k 800

Anisotropic Diff t 2

Critical pts vector magnitude

0.14

High curvature threshold

0.1

IW-MST edge range

8

Graph prune size 4

Graph morph strength

70

MDL weight factorα

0.70

Extra spine offset 1.5

MDL algorithm

Missed spinesFalse spines

5

Dataset Tracht7A

Morphology method

without MDL

Missed spinesFalse spines

Principal factors in the algorithm

Parameters Values

Intensity threshold 2

Connected components size

100

Anisotropic Diff k 800

Anisotropic Diff t 2

Critical pts vector magnitude

0.14

High curvature threshold

0.1

IW-MST edge range

8

Graph prune size 4

Graph morph strength

50

6

Dataset Tracht8A

Spines Nonspines

7

ManuallyScored Spines

Dataset Tracht8A

Principal factors in the algorithm

Parameters Values

Intensity threshold 2

Connected components size

100

Anisotropic Diff k 800

Anisotropic Diff t 2

Critical pts vector magnitude

0.14

High curvature threshold

0.2

IW-MST edge range

8

Graph prune size 4

Graph morph strength

50

MDL weight factorα

0.70

Extra spine offset 1.5

MDL algorithm

Missed spinesFalse spines

8

Dataset Tracht8A

Morphology method

without MDL

Missed spinesFalse spines

Principal factors in the algorithm

Parameters Values

Intensity threshold 2

Connected components size

100

Anisotropic Diff k 800

Anisotropic Diff t 2

Critical pts vector magnitude

0.14

High curvature threshold

-0.3

IW-MST edge range

8

Graph prune size 4

Graph morph strength

50

9

Dataset Tracht11A

Spines Nonspines

10

ManuallyScored Spines

Dataset Tracht11A

Principal factors in the algorithm

Parameters Values

Intensity threshold 2

Connected components size

100

Anisotropic Diff k 800

Anisotropic Diff t 2

Critical pts vector magnitude

0.14

High curvature threshold

0.4

IW-MST edge range

12

Graph prune size 4

Graph morph strength

50

MDL weight factorα

0.70

Extra spine offset 1.5

MDL algorithm

Missed spinesFalse spines

11

Dataset Tracht11A

Morphology method

without MDL

Missed spinesFalse spines

Principal factors in the algorithm

Parameters Values

Intensity threshold 2

Connected components size

100

Anisotropic Diff k 800

Anisotropic Diff t 2

Critical pts vector magnitude

0.14

High curvature threshold

0.2

IW-MST edge range

8

Graph prune size 4

Graph morph strength

50

12

Dataset Tracht14A

Spines Nonspines

13

ManuallyScored Spines

Dataset Tracht14A

Principal factors in the algorithm

Parameters Values

Intensity threshold 2

Connected components size

100

Anisotropic Diff k 800

Anisotropic Diff t 2

Critical pts vector magnitude

0.10

High curvature threshold

0.6

IW-MST edge range

15

Graph prune size 4

Graph morph strength

50

MDL weight factorα

0.7

Extra spine offset 1.5

MDL algorithm

Missed spinesFalse spines

14

Dataset Tracht14A

Morphology method

without MDL

Missed spinesFalse spines

Principal factors in the algorithm

Parameters Values

Intensity threshold 2

Connected components size

100

Anisotropic Diff k 800

Anisotropic Diff t 2

Critical pts vector magnitude

0.1

High curvature threshold

0

IW-MST edge range

8

Graph prune size 2

Graph morph strength

50

15

Dataset time330 Spines Nonspines

ManuallyScored Spines

16

Dataset time330

Principal factors in the algorithm

Parameters Values

Intensity threshold 2

Connected components size

10

Anisotropic Diff k 800

Anisotropic Diff t 2

Critical pts vector magnitude

0.12

High curvature threshold

0.2

IW-MST edge range

5

Graph prune size 4

Graph morph strength

50

MDL weight factorα

0.95

Extra spine offset 1.5

MDL algorithm

Missed spinesFalse spines

17

Dataset time330

Morphology method

without MDL

Missed spinesFalse spines

Principal factors in the algorithm

Parameters Values

Intensity threshold 2

Connected components size

1000

Anisotropic Diff k 800

Anisotropic Diff t 2

Critical pts vector magnitude

0.12

High curvature threshold

0.2

IW-MST edge range

5

Graph prune size 4

Graph morph strength

50

18

Dataset MBFsp5

Principal factors in the algorithm

Parameters Values

Intensity threshold 2

Connected components size

100

Anisotropic Diff k 800

Anisotropic Diff t 2

Critical pts vector magnitude

0.05

High curvature threshold

0

IW-MST edge range

8

Graph prune size 4

Graph morph strength

50

MDL weight factorα

0.95

Extra spine offset 1.5

MDL algorithm

Missed spinesFalse spines

19

Dataset MBFsp5

Morphology method

without MDL

Missed spinesFalse spines

Principal factors in the algorithm

Parameters Values

Intensity threshold 2

Connected components size

100

Anisotropic Diff k 800

Anisotropic Diff t 2

Critical pts vector magnitude

0.04

High curvature threshold

0.2

IW-MST edge range

10

Graph prune size 10

Graph morph strength

50

20

Dataset MBFsp6

Principal factors in the algorithm

Parameters Values

Intensity threshold 2

Connected components size

10

Anisotropic Diff k 800

Anisotropic Diff t 2

Critical pts vector magnitude

0.08

High curvature threshold

0.2

IW-MST edge range

5

Graph prune size 4

Graph morph strength

70

MDL weight factorα

0.95

Extra spine offset 1.5

MDL algorithm

Missed spinesFalse spines

21

Dataset MBFsp6

Morphology method

without MDL

Missed spinesFalse spines

Principal factors in the algorithm

Parameters Values

Intensity threshold 7

Connected components size

100

Anisotropic Diff k 800

Anisotropic Diff t 2

Critical pts vector magnitude

0.06

High curvature threshold

0.2

IW-MST edge range

10

Graph prune size 10

Graph morph strength

50

22

Dataset MBFsp8

Principal factors in the algorithm

Parameters Values

Intensity threshold 7

Connected components size

100

Anisotropic Diff k 800

Anisotropic Diff t 2

Critical pts vector magnitude

0.06

High curvature threshold

10

IW-MST edge range

30

Graph prune size 4

Graph morph strength

30

MDL weight factorα

0.95

Extra spine offset 1.5

MDL algorithm

Missed spinesFalse spines

23

Dataset MBFsp8

Morphology method

without MDL

Missed spinesFalse spines

Principal factors in the algorithm

Parameters Values

Intensity threshold 7

Connected components size

100

Anisotropic Diff k 800

Anisotropic Diff t 2

Critical pts vector magnitude

0.06

High curvature threshold

10

IW-MST edge range

30

Graph prune size 10

Graph morph strength

30

24