Related Experiment Video
Updated: Aug 25, 2025

11:06
Multi-color Localization Microscopy of Single Membrane Proteins in Organelles of Live Mammalian Cells
Published on: June 30, 2018
8.6K
splitSMLM, a spectral demixing method for high-precision multi-color localization microscopy applied to nuclear pore
Leonid Andronov1,2,3,4,5, Rachel Genthial1,2,3,4,5, Didier Hentsch1,2,3,4,5
1Centre for Integrative Biology (CBI), Department of Integrated Structural Biology, IGBMC, CNRS, Inserm, Université de Strasbourg, 1 rue Laurent Fries, 67404, Illkirch, France.
Communications Biology
|October 17, 2022
Summary
This study introduces splitSMLM, a novel multi-color single molecule localization microscopy method. It enhances molecular colocalization accuracy and corrects chromatic aberrations for precise biological imaging.
Area of Science:
- Biophysics
- Microscopy techniques
- Molecular imaging
Background:
- Single molecule localization microscopy (SMLM) enables multicolor imaging for molecular colocalization.
- Existing methods using dichroic image splitters face limitations in localization precision and chromatic error correction.
- Accurate multicolor SMLM is crucial for understanding complex biological structures.
Purpose of the Study:
- To develop an improved multicolor SMLM method (splitSMLM) with enhanced localization precision and drift correction.
- To compensate for chromatic distortions and optimize fluorophore performance for simultaneous imaging.
- To validate the method's efficacy in multicolor imaging of the nuclear pore complex (NPC).
Main Methods:
- Development of splitSMLM, an image splitter-based multicolor SMLM technique.
- Introduction of SplitViSu, a novel spectral demixing algorithm for precise localization and chromatic error correction.
- Optimization of fluorophore and filter combinations for enhanced multicolor performance.
Main Results:
- splitSMLM achieved significantly improved localization precision and drift correction.
- The SplitViSu algorithm corrected chromatic errors at the nanometer scale with minimal data loss.
- Three-color imaging of the NPC revealed refined positioning of proteins and identified Pom121 clusters as deposition loci.
Conclusions:
- The splitSMLM method offers superior performance for multicolor SMLM, overcoming limitations of classical approaches.
- SplitViSu algorithm provides accurate chromatic aberration correction and preserves localization precision.
- The method's application to NPC imaging demonstrates its strength and broad applicability in cell biology.

