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Updated: Apr 21, 2026
Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells
Published on: June 30, 2018
PALMsiever: a tool to turn raw data into results for single-molecule localization microscopy.
Thomas Pengo1, Seamus J Holden2, Suliana Manley2
1Design of Biological Systems, Systems Biology, Center for Genomic Regulation, Dr. Aiguader 88, 08003 Barcelona, Spain, Advanced Light Microscopy Unit, Center for Genomic Regulation, Dr. Aiguader 88, 08003 Barcelona, Spain, and Laboratory for Experimental Biophysics, Institute for Physics of Biological Systems, School of Basic Sciences, Swiss Federal School of Technology, 1015 Lausanne, Switzerland Design of Biological Systems, Systems Biology, Center for Genomic Regulation, Dr. Aiguader 88, 08003 Barcelona, Spain, Advanced Light Microscopy Unit, Center for Genomic Regulation, Dr. Aiguader 88, 08003 Barcelona, Spain, and Laboratory for Experimental Biophysics, Institute for Physics of Biological Systems, School of Basic Sciences, Swiss Federal School of Technology, 1015 Lausanne, Switzerland.
PALMsiever simplifies complex localization microscopy (LM) data analysis for researchers. This open-source software offers user-friendly tools for visualizing, filtering, and analyzing LM data, making advanced techniques accessible.
Area of Science:
- Biophysics
- Cell Biology
- Microscopy
Background:
- Localization microscopy (LM) has become a widely accessible technique in life sciences.
- Data processing for LM can be challenging for non-specialists, requiring careful handling for meaningful results.
Purpose of the Study:
- To develop a user-friendly software solution for visualizing, filtering, and analyzing localization microscopy data.
- To make advanced LM data processing modalities broadly accessible to researchers.
Main Methods:
- Development of PALMsiever, an open-source software package.
- Incorporation of features such as drift correction, clustering, intelligent line profiles, rendering algorithms, and 3D visualization.
- Design for extensibility via plugins.
Main Results:
- PALMsiever provides a user-friendly interface for complex LM data analysis.
- The software integrates expert-level analysis and processing modalities with novel features.
- It offers broad accessibility to advanced LM data processing techniques.
Conclusions:
- PALMsiever democratizes advanced localization microscopy data analysis.
- The software empowers non-specialists to obtain meaningful results from LM data.
- Its open-source nature and plugin extensibility ensure continued development and adoption.
