Year: 2025
Type: article
Abstract: SUMMARY: 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. AVAILABILITY AND IMPLEMENTATION: 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.
Source: Bioinformatics
Authors: Alexander Vallmitjana, Belén Torrado, Amanda F Durkin, Alexander Dvornikov, Navid Rajil, Suman Ranjit, Mihaela Balu
Language: English
Subfield: Biophysics
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,989
Awards: G1301112851, G1315042094, G2560811240, INTRAVITAL IMAGING OF MELANOMA TUMORS FOR MECHANISM DISCOVERY AND PATIENT SURVEILLANCE AFTER CHECKPOINT BLOCKADE IMMUNOTHERAPY, G2947711961, G350968117, G5805402537, G6249828719, Fast, large area, multiphoton exoscope (FLAME) for improving early detection of melanoma, Cancer Center Support Grant
OpenAlex ID: W4409525546