GSLab: open-source platform for advanced phasor analysis in fluorescence microscopy.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 40233242.
- Also identified by DOI 10.1093/bioinformatics/btaf162 and PMC identifier 12034383.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
GSLab addresses the need for effective image analysis tools in fluorescence microscopy by providing an open-source platform that enhances traditional phasor analysis with advanced features. Key capabilities include machine learning-based clustering, real-time monitoring, and quantitative unmixing of fluorescent species. Designed for both commercial and custom systems, GSLab provides researchers with comprehensive lifetime and spectral phasor image analysis tools to tackle complex biological problems. The software is written as a MATLAB app. It is available for download at: https://doi.org/10.6084/m9.figshare.27921966. Example files and tutorials are also available: https://doi.org/10.6084/m9.figshare.28067108. For developers who wish to contribute please use: https://github.com/AlexVallmitjana/GSLab. A compiled Windows installer (does not require MATLAB) is available at: https://doi.org/10.6084/m9.figshare.28655276.
Medical subject headings
- Software
- Image Processing, Computer-Assisted