Published May 23, 2024
| Version v3
Software
Open
Towards drift-free high-throughput nanoscopy through adaptive intersection maximization
Description
This is the code repository for Adaptive Intersection Maximization (AIM)-based high-speed drift correction algorithm for single molecule localization microscopy. The details are presented in our paper entitled "Towards drift-free high-throughput nanoscopy through adaptive intersection maximization".
The code repository includes example code to run AIM on the sample simulated and experimental datasets. We provided four experimental datasets (Origami_PAINT, Microtublue_3d, Tissue_colon and CTCF_MCF10A_DRB_6h) and one simulated dataset (simulationSMLM) in MATLAB mat format available at Dryad. Please download these dataset and put them in the Data folder.
Details can be found in "README.md" and "User Guide for AIM.pdf".
Files
AIM_Code.zip
Files
(20.3 MB)
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Additional details
Related works
- Is supplement to
- Dataset: 10.5061/dryad.2v6wwpzw3 (DOI)
Funding
- National Institutes of Health
- Imaging nanoscale chromatin folding in early carcinogenesis 5R01CA254112-03
- National Institutes of Health
- Three dimensional nanoscale nuclear architecture mapping based taxonomy of precursor lesions for predicting colorectal cancer risk 5R01CA232593-04
- National Institutes of Health
- Super-Resolution Imaging of Higher-Order Heterochromatin Structure for Early Detection of Lung Carcinogenesis 1R21CA259787-01A1
Dates
- Updated
-
2024-04-17
Software
- Repository URL
- https://github.com/YangLiuLab/AIM
- Programming language
- MATLAB , C