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Column statistics in the Object Analyzer

This article summarizes how to optimally use column statistics in the Object Analyzer in the Huygens deconvolution software.






SUM = \sum_{i=1}^N x_i

AVG = \frac{SUM}{N}

SD-N = \sqrt{\frac{1}{N} \sum_{i=1}^N (x_i - AVG)^2

What follows is an example of the reported values: first objects in the Primary (P) pipe are considered separately, then objects in the Secondary (S) pipe, and finally statistics are reported for all objects together (PS). If some rows are present in the table reporting about the ROI, they are also included separately.



 ---- 'Voxels' ----
Number of voxels in the object

Primary pipe (P)
  MAX(P) = 326
  MED(P) = 58
  MIN(P) = 7
  N(P) = 12
  SUM(P) = 923
  AVG(P) = 76.917
  SD-N(P) = 84.044  (109.27%)

Secondary pipe (S)
  MAX(S) = 1127
  MED(S) = 17.5
  MIN(S) = 6
  N(S) = 24
  SUM(S) = 2067
  AVG(S) = 86.125
  SD-N(S) = 222.47  (258.31%)

Both pipes (PS)
  MAX(PS) = 1127
  MED(PS) = 21
  MIN(PS) = 6
  N(PS) = 36
  SUM(PS) = 2990
  AVG(PS) = 83.056
  SD-N(PS) = 188.07  (226.44%)