(A) Automated spot detection. Simulated image (left) and detection results (right) with detected spots in red and ground truth in white. (B) Elbow curve used for automated threshold setting, red dot indicates identified intensity threshold. (C) Decomposition of dense regions. Simulated image (left) and decomposition results (right) with detected spots in red and ground truth in white. Number of simulated and detected spots are shown in white and red, respectively. (D) Algorithm to decompose dense regions was evaluated with 100 simulated images containing a cluster of 15 spots and different noise levels. (E) Example of automated detection of BICD2 mRNAs (left) and centrosome (right) in HeLa cells. (F) Example of nucleus segmentation from a DAPI image. (G) Example of cell segmentation from a CellMask image.
