Table 1.
Problem | Possible Cause | Solution |
---|---|---|
Noise Model Calibration | ||
Low Gauss ratio (typically <3) | Cropped region contains parts of cell. | Modify region of interest along the stack depth. |
Spatial and/or temporal range of the background region is too small. | Acquire a movie containing background only. Run the noise model calibration on this background movie. (a) | |
Thresholding/Mask Refinement | ||
Cell mask is not determined properly | Automatic thresholding fails | Use alternate thresholding methods/Set threshold value manually |
Inhomogeneous background | Crop region of the movie for analysis. | |
Multiple cells in the movie | Adjust the object number in mask refinement Crop each cell as a separate movie |
|
Speckle detection | ||
Misdetected speckles | Low Gauss ratio | See Noise Model Calibration above |
Low signal to noise ratio | Increase alpha value | |
Dense speckles are not resolved | Increase number of iterations | |
Flow Tracking | ||
Inhomogenous flow | Template size too short/big | Use variable template range to determine adapted size. |
Integration window too short | Optimize integration window. | |
Background is perturbing correlation | Use stationary background subtraction | |
High number of outliers | Decrease outlier threshold | |
Speckle Tracking | ||
Short tracks | Track lifetime is too short | Use iterative speckle detection |
Random flow directionality | Initialization problem |
|
Kinetic Analysis/Flow Analysis | ||
Maps | Sparse kinetic events cannot generate sufficient information | Increase time windows for averaging |
If none of these help then the camera noise is electronically correlated (can happen especially with first generation EM-CCD or sCMOS cameras); or there is a high level of stray light in the microscope.