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Acknowledgements
This work was supported primarily by NIH grant R01 EB005157 and by NSF grants EEC-9986821. The authors thank the DIADEM organizers for conducting such a unique competition and the dataset providers for generously providing the data to work with. These datasets provided the much-needed impetus to advance the trace editing tools in FARSIGHT in new ways, especially the scalability needed to handle large datasets.
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Appendix A: Feature Calculation
Appendix A: Feature Calculation
Intrinsic Features
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1
Trace ID:
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The ID is a unique number to look up each trace
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2
Radius:
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Average Radius of the Trace
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3
Type:
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The type of neural structure it is
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4
Parent:
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The ID of the previous Trace in the tree, -1 if it is a root
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5
Root ID:
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The ID of the first trace of each tree
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6
Level:
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Following the shortest path how many bifurcations in the tree to reach the root.
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7
Number of Children:
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How many children branch from the trace
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0 or 2, if it is not a soma
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8
Leaf Node:
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Determine if the Trace is a terminal tip
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Computed Features
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1
# of Bits:
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How many traced points in the segment
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n
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2
Euclidian Length:
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The length of a straight line fitted between two points
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$$ D = \sqrt[2]{{{{\left( {{p_{{1,x}}} - {p_{{2,x}}}} \right)}^2} + {{\left( {{p_{{1,y}}} - {p_{{2,y}}}} \right)}^2} + {{\left( {{p_{{1,z}}} - {p_{{2,z}}}} \right)}^2}}} $$
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3
Path Length:
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Summation of the Euclidian distance between bits
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\( L = \sqrt[{\sum {_{{i = 0}}^{{n - {1^2}}}} }]{{{{\left( {{p_{{i,x}}} - {p_{{i + 1,x}}}} \right)}^2} + {{\left( {{p_{{i,y}}} - {p_{{i + 1,y}}}} \right)}^2} + {{\left( {{p_{{i,z}}} - {p_{{1,z}}}} \right)}^2}}} \)
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4
Fragmentation Smoothness:
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Ratio of path length to Euclidian distance
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\( s = \frac{L}{D} \)
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5
Trace Density:
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The average spacing between traced points
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\( \frac{L}{n} \)
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6
Volume:
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Calculates as a sum of cylinders along the path
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\( V = \sum {_0^{{n - 1}}\pi {{\left( {{r_i}} \right)}^2}*Di,i + 1} \)
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7
Distance to Parent:
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Euclidian distance between parent and child end points
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8
Path to Root:
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Summation of the path length and distance to parent
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Features specific for merging
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1
Gap Size:
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Minimum Distance between the endpoints of two traces
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\( d = \sqrt[2]{{{{\left( {{x_1} - {x_2}} \right)}^2} + {{\left( {{y_1} - {y_2}} \right)}^2} + {{\left( {{z_1} - {z_2}} \right)}^2}}} \)
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2
Gap Angle:
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Angle between two traces represented as normalized vectors
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\( \theta = {\cos^{{ - 1}}}\left( {\frac{{{v_1}*{v_2}}}{{|{v_1}||{v_2}|}}} \right) \)
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3
Maximum Gap Distance:
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User parameter to set maximum gap size
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∆
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4
Merging Cost:
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Function for determining merging probability
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\( C = \theta \left[ { \frac{d}{\Delta } } \right]s \)
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Luisi, J., Narayanaswamy, A., Galbreath, Z. et al. The FARSIGHT Trace Editor: An Open Source Tool for 3-D Inspection and Efficient Pattern Analysis Aided Editing of Automated Neuronal Reconstructions. Neuroinform 9, 305–315 (2011). https://doi.org/10.1007/s12021-011-9115-0
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DOI: https://doi.org/10.1007/s12021-011-9115-0