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Open Source High Content Analysis Utilizing Automated Fluorescence Lifetime Imaging Microscopy
Published on: January 18, 2017
gDAIS: A Global Analysis Application for Obtaining Confidence in FLIM
Nikhil Mattu1, Jasmine Su1, Siem Yonas1
1Laboratory for Advanced Microscopy and Biophotonics, National Heart, Lung, and Blood Institute (NHLBI), National Institutes of Health (NIH), Building 10, Room 5D14, Bethesda, MD 20892-1412, USA.
Global analysis of Fluorescence Lifetime Imaging Microscopy (FLIM) data offers a more robust method for analyzing cellular metabolism and FRET. The new gDAIS software provides accurate amplitude and uncertainty images for improved biomolecular investigation.
Area of Science:
- Biophysics
- Cellular Biology
- Microscopy Techniques
Background:
- Fluorescence Lifetime Imaging Microscopy (FLIM) is crucial for studying cellular environments and biomolecular interactions.
- Conventional FLIM analysis methods like multi-exponential fitting and phasor analysis can be skewed by low photon counts.
- Accurate quantification of biomolecular states and Förster resonance energy transfer (FRET) requires advanced analytical approaches.
Purpose of the Study:
- To introduce a novel global decay-associated analysis method for FLIM data.
- To present the global Decay-Associated Image Software (gDAIS) for enhanced FLIM data processing.
- To improve the accuracy and statistical rigor of FLIM analysis for cellular studies.
Main Methods:
- Implementation of a global decay-associated analysis optimizing nonlinear parameters across the entire image.
- Development of the gDAIS software incorporating a fast regression method.
- Generation of amplitude images and associated uncertainty maps from FLIM data.
Main Results:
- Global analysis provides statistically rigorous confidence limits on lifetimes and amplitudes.
- The gDAIS software successfully generates images of amplitudes and their uncertainties.
- The method enables accurate assessment of cellular metabolism and FRET relationships, including error limits for amplitude ratios.
Conclusions:
- Global decay-associated analysis offers a superior alternative to conventional FLIM analysis, mitigating issues with low photon counts.
- gDAIS software enhances the reliability of FLIM data interpretation for biomolecular and cellular studies.
- This approach facilitates confident assessment of cellular dynamics and molecular interactions through precise quantification.
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