Nov 29, 2023
Spot detection on structured background protocol
- 1University of Cambridge
Protocol Citation: Bin Fu 2023. Spot detection on structured background protocol. protocols.io https://dx.doi.org/10.17504/protocols.io.36wgq3y23lk5/v1
License: This is an open access protocol distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited
Protocol status: Working
We use this protocol and it's working
Created: November 29, 2023
Last Modified: May 31, 2024
Protocol Integer ID: 91566
Keywords: ASAPCRN
Funders Acknowledgement:
Aligning Science Across Parkinson’s
Grant ID: ASAP-000509
Abstract
This protocol details the steps for using the spot detection code
Attachments
Materials
File required: ‘main_RADSpot’ folder
Toolbox required: Statistics and Machine Learning Toolbox, image processing toolbox
Put sub-diffraction beads images in the folder ‘area_threshold’ and run determineAreaThres.m to find the maximum area in pixel for a diffraction-limited object.
Put negative control images in the folder ‘negative_control’ and run determineRad.m to determined the steepness and integrated gradient used in the study.
Put images in ‘image’ folder and run detection.m for diffraction-limited puncta detection