Brain image simulation protocol
Bin Fu
Abstract
This protocol details the method for simulating a brain image with small and large features
Attachments
Steps
- Prepare negative control images where no fluorescent puncta were labelled. These images are considered as background images.
- Select one or several cropped images containing large aggregates in the library and apply a sigmoid function to the selected cropped image where x in the sigmoid function is determined by the distance to the large aggregate in the cropped image .
Simulate small puncta with 2D gaussian distribution on a blank image (same image size as the negative control image), the number of which should be determined from real images . The sigma of puncta should be determined from real images as well.
Add cropped large aggregates onto the background images at a random location. Then add the simulated puncta onto the background image to form a simulated image with both small and large features .
Record position, intensity and background information per small puncta expect for those overlapping with the large aggregates in the simulated image and save the results.
Repeat step2 to 5 again for other background images