The Challenge: Extracting Reliable Information from FLIM Data
FLIM experiments generate multidimensional datasets that contain far more information than simple intensity images. Researchers frequently need to evaluate lifetime distributions, compare regions of interest, or distinguish between multiple fluorescent species within the same image.
This becomes challenging when:
- fluorescence decays are complex or multi-exponential
- many regions of interest need to be compared systematically
- different analysis methods (fitting, phasor analysis, pattern matching) must be evaluated in parallel
- reproducibility of analysis parameters becomes critical
Without streamlined analysis workflows, extracting robust and reproducible results from FLIM datasets can become time-consuming and difficult to standardize.
New Analysis Approaches for Modern FLIM Experiments
PicoQuant’s NovaFLIM and NovaISM analysis software expand the possibilities of fluorescence lifetime imaging microscopy by combining powerful analysis methods with streamlined workflows. This poster highlights several analysis approaches implemented in these platforms that help researchers extract quantitative information from FLIM datasets more efficiently.
These capabilities include:
- Integrated FLIM contrast analysis combining decay fitting, phasor plots, pattern matching, and lifetime histograms for flexible interpretation of lifetime data
- Advanced ROI handling enabling reproducible region selection and statistical comparison across multiple image areas
- Batch analysis workflows allowing parallel evaluation of multiple ROIs or complete datasets
- GPU-accelerated lifetime calculations for rapid processing and automated fitting suggestions
- ISM-FLIM analysis with NovaISM, where pixel reassignment, computational sectioning, and deconvolution improve spatial resolution and contrast
Together, NovaFLIM and NovaISM create a unified analysis environment for quantitative lifetime imaging, enabling faster interpretation of complex FLIM experiments and more reproducible results.
