ShareLoc

ShareLoc enables sharing, visualization, and reanalysis of single-molecule localization microscopy (SMLM) datasets to support improved image reconstruction and collaborative bioimaging analyses.

Key Features:

• Data sharing: Facilitates sharing of SMLM localization datasets for secondary analysis and reanalysis.
• Visualization: Provides visualization of complex SMLM datasets to inspect localization data and reconstructed images.
• Machine learning reanalysis: Supports reanalysis workflows that employ machine learning and deep learning methods.
• Image reconstruction enhancement: Uses deep learning approaches to improve the performance and robustness of SMLM image reconstruction.

Scientific Applications:

• Secondary analysis: Enables leveraging existing SMLM datasets for novel biological discoveries without additional experiments.
• Super-resolution image improvement: Improves the quality and reliability of super-resolution images produced from SMLM data.
• Reproducibility and transparency: Promotes reproducibility and transparency in bioimaging through shared datasets and reanalysis.

Methodology:

Applies deep learning algorithms to SMLM localization data to refine and improve image reconstruction methods.